mirror of
https://github.com/dgirardeau/q3DMASC.git
synced 2026-08-29 16:40:49 +08:00
Daniel Girardeau-Montaut
862 lines
20 KiB
C++
862 lines
20 KiB
C++
//##########################################################################
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//# #
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//# CLOUDCOMPARE PLUGIN: q3DMASC #
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//# #
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//# This program is free software; you can redistribute it and/or modify #
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//# it under the terms of the GNU General Public License as published by #
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//# the Free Software Foundation; version 2 or later of the License. #
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//# #
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//# This program is distributed in the hope that it will be useful, #
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//# but WITHOUT ANY WARRANTY; without even the implied warranty of #
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//# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #
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//# GNU General Public License for more details. #
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//# #
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//# COPYRIGHT: Dimitri Lague / CNRS / UEB #
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//# #
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//##########################################################################
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#include "PointFeature.h"
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//Local
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#include "q3DMASCTools.h"
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//qCC_io
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#include <LASFields.h>
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//qCC_db
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#include <ccPointCloud.h>
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#include <ccScalarField.h>
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//CCLib
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#include <WeibullDistribution.h>
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//system
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#include <assert.h>
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//Qt
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#include <QCoreApplication>
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static const char* s_echoRatioSFName = "EchoRat";
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static const char* s_NIRSFName = "NIR";
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static const char* s_M3C2SFName = "M3C2 distance";
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static const char* s_PCVSFName = "Illuminance (PCV)";
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static const char* s_normDipSFName = "Norm dip";
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static const char* s_normDipDirSFName = "Norm dip dir.";
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using namespace masc;
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bool PointFeature::checkValidity(QString &error) const
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{
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if (!Feature::checkValidity(error))
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{
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return false;
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}
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if (type == Invalid)
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{
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assert(false);
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error = "invalid feature type";
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return false;
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}
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assert(cloud1);
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if (scaled() && stat == NO_STAT)
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{
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error = "scaled point features need a STAT measure to be defined";
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return false;
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}
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if (op != NO_OPERATION && !scaled())
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{
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error = "math operations can't be defined on scale-less point features (SC0)";
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return false;
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}
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switch (type)
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{
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case PointFeature::Intensity:
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{
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if (cloud1->getScalarFieldIndexByName(LAS_FIELD_NAMES[LAS_INTENSITY]) < 0)
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{
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error = QString("Cloud has no '%1' scalar field").arg(LAS_FIELD_NAMES[LAS_INTENSITY]);
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return false;
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}
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return true;
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}
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case PointFeature::X:
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case PointFeature::Y:
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case PointFeature::Z:
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return true;
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case PointFeature::NbRet:
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{
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if (cloud1->getScalarFieldIndexByName(LAS_FIELD_NAMES[LAS_NUMBER_OF_RETURNS]) < 0)
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{
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error = QString("Cloud has no '%1' scalar field").arg(LAS_FIELD_NAMES[LAS_NUMBER_OF_RETURNS]);
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return false;
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}
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return true;
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}
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case PointFeature::RetNb:
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{
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if (cloud1->getScalarFieldIndexByName(LAS_FIELD_NAMES[LAS_RETURN_NUMBER]) < 0)
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{
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error = QString("Cloud has no '%1' scalar field").arg(LAS_FIELD_NAMES[LAS_RETURN_NUMBER]);
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return false;
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}
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return true;
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}
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case PointFeature::EchoRat:
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{
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if (cloud1->getScalarFieldIndexByName(LAS_FIELD_NAMES[LAS_NUMBER_OF_RETURNS]) < 0)
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{
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error = QString("Cloud has no '%1' scalar field").arg(LAS_FIELD_NAMES[LAS_NUMBER_OF_RETURNS]);
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return false;
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}
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if (cloud1->getScalarFieldIndexByName(LAS_FIELD_NAMES[LAS_RETURN_NUMBER]) < 0)
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{
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error = QString("Cloud has no '%1' scalar field").arg(LAS_FIELD_NAMES[LAS_RETURN_NUMBER]);
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return false;
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}
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return true;
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}
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case PointFeature::R:
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case PointFeature::G:
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case PointFeature::B:
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if (!cloud1->hasColors())
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{
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error = "Cloud has no RGB color";
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return false;
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}
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return true;
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case PointFeature::NIR:
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{
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if (cloud1->getScalarFieldIndexByName(s_NIRSFName) < 0)
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{
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error = QString("Cloud has no '%1' scalar field").arg(s_NIRSFName);
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return false;
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}
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return true;
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}
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case PointFeature::DipAng:
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case PointFeature::DipDir:
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{
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if (!cloud1->hasNormals())
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{
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error = "Cloud has no normals";
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return false;
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}
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return true;
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}
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case PointFeature::M3C2:
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{
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if (cloud1->getScalarFieldIndexByName(s_M3C2SFName) < 0)
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{
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error = QString("Cloud has no '%1' scalar field").arg(s_M3C2SFName);
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return false;
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}
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return true;
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}
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case PointFeature::PCV:
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{
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if (cloud1->getScalarFieldIndexByName(s_PCVSFName) < 0)
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{
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error = QString("Cloud has no '%1' scalar field").arg(s_PCVSFName);
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return false;
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}
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return true;
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}
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case PointFeature::SF:
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if (sourceSFIndex >= static_cast<int>(cloud1->getNumberOfScalarFields()))
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{
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error = QString("Cloud has no scalar field #%1").arg(sourceSFIndex);
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return false;
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}
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return true;
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default:
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break;
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}
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return true;
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}
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QSharedPointer<IScalarFieldWrapper> PointFeature::retrieveField(ccPointCloud* cloud, QString& error)
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{
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if (!cloud)
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{
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assert(false);
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return QSharedPointer<IScalarFieldWrapper>(nullptr);
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}
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switch (type)
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{
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case PointFeature::Intensity:
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{
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CCLib::ScalarField* sf = Tools::RetrieveSF(cloud, LAS_FIELD_NAMES[LAS_INTENSITY], false);
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if (!sf)
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{
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error = "Cloud has no 'intensity' scalar field";
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return nullptr;
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}
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return QSharedPointer<IScalarFieldWrapper>(new ScalarFieldWrapper(sf));
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}
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case PointFeature::X:
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return QSharedPointer<IScalarFieldWrapper>(new DimScalarFieldWrapper(cloud, DimScalarFieldWrapper::DimX));
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case PointFeature::Y:
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return QSharedPointer<IScalarFieldWrapper>(new DimScalarFieldWrapper(cloud, DimScalarFieldWrapper::DimY));
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case PointFeature::Z:
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return QSharedPointer<IScalarFieldWrapper>(new DimScalarFieldWrapper(cloud, DimScalarFieldWrapper::DimZ));
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case PointFeature::NbRet:
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{
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CCLib::ScalarField* sf = Tools::RetrieveSF(cloud, LAS_FIELD_NAMES[LAS_NUMBER_OF_RETURNS], false);
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if (!sf)
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{
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error = "Cloud has no 'number of returns' scalar field";
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return nullptr;
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}
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return QSharedPointer<IScalarFieldWrapper>(new ScalarFieldWrapper(sf));
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}
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case PointFeature::RetNb:
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{
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CCLib::ScalarField* sf = Tools::RetrieveSF(cloud, LAS_FIELD_NAMES[LAS_RETURN_NUMBER], false);
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if (!sf)
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{
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error = "Cloud has no 'return number' scalar field";
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return nullptr;
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}
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return QSharedPointer<IScalarFieldWrapper>(new ScalarFieldWrapper(sf));
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}
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case PointFeature::EchoRat:
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{
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//retrieve the two scalar fields 'p/q'
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CCLib::ScalarField* numberOfRetSF = Tools::RetrieveSF(cloud, LAS_FIELD_NAMES[LAS_NUMBER_OF_RETURNS], false);
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if (!numberOfRetSF)
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{
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error = "Can't compute the 'echo ratio' field: no 'Number of Return' SF available";
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return nullptr;
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}
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CCLib::ScalarField* retNumberSF = Tools::RetrieveSF(cloud, LAS_FIELD_NAMES[LAS_RETURN_NUMBER], false);
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if (!retNumberSF)
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{
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error = "Can't compute the 'echo ratio' field: no 'Return number' SF available";
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return nullptr;
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}
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if (retNumberSF->size() != numberOfRetSF->size() || retNumberSF->size() != cloud->size())
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{
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error = "Internal error (inconsistent scalar fields)";
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return nullptr;
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}
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return QSharedPointer<IScalarFieldWrapper>(new ScalarFieldRatioWrapper(retNumberSF, numberOfRetSF, "EchoRat"));
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}
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case PointFeature::R:
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return QSharedPointer<IScalarFieldWrapper>(new ColorScalarFieldWrapper(cloud, ColorScalarFieldWrapper::Red));
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case PointFeature::G:
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return QSharedPointer<IScalarFieldWrapper>(new ColorScalarFieldWrapper(cloud, ColorScalarFieldWrapper::Green));
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case PointFeature::B:
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return QSharedPointer<IScalarFieldWrapper>(new ColorScalarFieldWrapper(cloud, ColorScalarFieldWrapper::Blue));
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case PointFeature::NIR:
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{
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CCLib::ScalarField* sf = Tools::RetrieveSF(cloud, s_NIRSFName, false);
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if (!sf)
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{
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error = "Cloud has no 'NIR' scalar field";
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return nullptr;
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}
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return QSharedPointer<IScalarFieldWrapper>(new ScalarFieldWrapper(sf));
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}
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case PointFeature::DipAng:
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case PointFeature::DipDir:
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{
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//we need normals to compute the dip and dip direction!
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if (!cloud->hasNormals())
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{
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error = "Cloud has no normals: can't compute dip or dip dir. angles";
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return nullptr;
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}
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return QSharedPointer<IScalarFieldWrapper>(new NormDipAndDipDirFieldWrapper(cloud, type == PointFeature::DipAng ? NormDipAndDipDirFieldWrapper::Dip : NormDipAndDipDirFieldWrapper::DipDir));
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}
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case PointFeature::M3C2:
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{
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CCLib::ScalarField* sf = Tools::RetrieveSF(cloud, s_M3C2SFName, true);
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if (!sf)
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{
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error = "Cloud has no 'm3c2 distance' scalar field";
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return nullptr;
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}
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return QSharedPointer<IScalarFieldWrapper>(new ScalarFieldWrapper(sf));
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}
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case PointFeature::PCV:
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{
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CCLib::ScalarField* sf = Tools::RetrieveSF(cloud, s_PCVSFName, true);
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if (!sf)
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{
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error = "Cloud has no 'PCV/Illuminance' scalar field";
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return nullptr;
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}
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return QSharedPointer<IScalarFieldWrapper>(new ScalarFieldWrapper(sf));
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}
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case PointFeature::SF:
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if (sourceSFIndex < 0 || sourceSFIndex >= static_cast<int>(cloud->getNumberOfScalarFields()))
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{
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error = QString("Can't retrieve the specified SF: invalid index (%1)").arg(sourceSFIndex);
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return nullptr;
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}
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return QSharedPointer<IScalarFieldWrapper>(new ScalarFieldWrapper(cloud->getScalarField(sourceSFIndex)));
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default:
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break;
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}
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error = "Unhandled feature type";
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return nullptr;
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}
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static bool ExtractStatFromSF( const CCVector3& queryPoint,
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const CCLib::DgmOctree* octree,
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unsigned char octreeLevel,
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Feature::Stat stat,
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const IScalarFieldWrapper& inputField,
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PointCoordinateType radius,
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double& outputValue)
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{
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if (!octree)
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{
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assert(false);
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return false;
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}
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//spherical neighborhood extraction structure
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CCLib::DgmOctree::NearestNeighboursSphericalSearchStruct nNSS;
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{
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nNSS.level = octreeLevel;
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nNSS.queryPoint = queryPoint;
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nNSS.prepare(radius, octree->getCellSize(nNSS.level));
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octree->getTheCellPosWhichIncludesThePoint(&nNSS.queryPoint, nNSS.cellPos, nNSS.level);
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octree->computeCellCenter(nNSS.cellPos, nNSS.level, nNSS.cellCenter);
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}
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//we extract the point's neighbors
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unsigned kNN = octree->findNeighborsInASphereStartingFromCell(nNSS, radius, true);
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if (kNN == 0)
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{
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return true;
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}
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//specific case
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if (stat == Feature::RANGE)
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{
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double minValue = 0;
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double maxValue = 0;
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for (unsigned k = 0; k < kNN; ++k)
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{
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unsigned index = nNSS.pointsInNeighbourhood[k].pointIndex;
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double v = inputField.pointValue(index);
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//track min and max values
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if (k != 0)
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{
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if (v < minValue)
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minValue = v;
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else if (v > maxValue)
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maxValue = v;
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}
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else
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{
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minValue = maxValue = v;
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}
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}
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outputValue = maxValue - minValue;
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return true;
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}
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else
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{
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bool withSums = (stat == Feature::MEAN || stat == Feature::STD);
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bool storeValues = (stat == Feature::MODE || stat == Feature::SKEW);
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double sum = 0.0;
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double sum2 = 0.0;
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CCLib::WeibullDistribution::ScalarContainer values;
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if (storeValues)
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{
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try
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{
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values.resize(kNN);
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}
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catch (const std::bad_alloc&)
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{
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ccLog::Warning("Not enough memory");
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return false;
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}
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}
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for (unsigned k = 0; k < kNN; ++k)
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{
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unsigned index = nNSS.pointsInNeighbourhood[k].pointIndex;
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double v = inputField.pointValue(index);
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if (withSums)
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{
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//compute average and std. dev.
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sum += v;
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sum2 += v * v;
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}
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if (storeValues)
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{
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values[k] = static_cast<ScalarType>(v);
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}
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}
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switch (stat)
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{
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case Feature::MEAN:
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{
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outputValue = sum / kNN;
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}
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break;
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case Feature::MODE:
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{
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CCLib::WeibullDistribution w;
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w.computeParameters(values);
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outputValue = w.computeMode();
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}
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break;
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case Feature::STD:
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{
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outputValue = sqrt(std::abs(sum2 * kNN - sum * sum)) / kNN;
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}
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break;
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case Feature::RANGE:
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{
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//we can't be here
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assert(false);
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}
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return false;
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case Feature::SKEW:
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{
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CCLib::WeibullDistribution w;
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w.computeParameters(values);
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outputValue = w.computeSkewness();
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}
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break;
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default:
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{
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ccLog::Warning("Unhandled STAT measure");
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assert(false);
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}
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return false;
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}
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}
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return true;
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}
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bool PointFeature::prepare( const CorePoints& corePoints,
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QString& error,
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CCLib::GenericProgressCallback* progressCb/*=nullptr*/,
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SFCollector* generatedScalarFields/*=nullptr*/)
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{
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if (!cloud1 || !corePoints.cloud)
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{
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//invalid input
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assert(false);
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error = "internal error (no input core points)";
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return false;
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}
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//look for the source field
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assert(!field1);
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field1 = retrieveField(cloud1, error);
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if (!field1)
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{
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//error should be up to date
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return false;
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}
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//shall we extract a statistical measure? (= scaled feature)
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if (scaled())
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{
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if (stat == Feature::NO_STAT)
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{
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assert(false);
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ccLog::Warning("Scaled features (SCx) must have an associated STAT measure");
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return false;
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}
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if (cloud2)
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{
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//no need to compute the second scalar field if no MATH operation has to be performed?!
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if (op != Feature::NO_OPERATION)
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{
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assert(!field2);
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field2 = retrieveField(cloud2, error);
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if (!field2)
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{
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//error should be up to date
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return false;
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}
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}
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else
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{
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assert(false);
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ccLog::Warning("Feature has a second cloud associated but no MATH operation is defined");
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return false;
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}
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}
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//build the final SF name
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QString resultSFName = cloud1Label + "." + field1->getName() + QString("_") + Feature::StatToString(stat);
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if (field2 && op != Feature::NO_OPERATION)
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{
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//include the math operation as well if necessary!
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resultSFName += "_" + Feature::OpToString(op) + "_" + cloud2Label + "." + field2->getName() + QString("_") + Feature::StatToString(stat);
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}
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resultSFName += "@" + QString::number(scale);
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//and the scalar field
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assert(!statSF1);
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statSF1 = PrepareSF(corePoints.cloud, qPrintable(resultSFName));
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if (!statSF1)
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{
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error = QString("Failed to prepare scalar field for field '%1' @ scale %2").arg(field1->getName()).arg(scale);
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return false;
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}
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sourceName = statSF1->getName();
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if (cloud2 && field2 && op != Feature::NO_OPERATION)
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{
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QString resultSFName2 = cloud2Label + "." + field2->getName() + QString("_") + Feature::StatToString(stat) + "@" + QString::number(scale);
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keepStatSF2 = (corePoints.cloud->getScalarFieldIndexByName(qPrintable(resultSFName2)) >= 0); //we remember that the scalar field was already existing!
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assert(!statSF2);
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statSF2 = PrepareSF(corePoints.cloud, qPrintable(resultSFName2));
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if (!statSF2)
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{
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error = QString("Failed to prepare scalar field for field '%1' @ scale %2").arg(field2->getName()).arg(scale);
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return false;
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}
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}
|
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|
|
return true;
|
|
}
|
|
else //non scaled feature
|
|
{
|
|
if (cloud1 != corePoints.cloud && cloud1 != corePoints.origin)
|
|
{
|
|
assert(false);
|
|
error = "Scale-less features (SC0) can only be defined on the core points (origin) cloud";
|
|
return false;
|
|
}
|
|
|
|
if (cloud2)
|
|
{
|
|
if (op != Feature::NO_OPERATION)
|
|
{
|
|
assert(false);
|
|
ccLog::Warning("MATH operations cannot be performed on scale-less features (SC0)");
|
|
return false;
|
|
}
|
|
else
|
|
{
|
|
assert(false);
|
|
ccLog::Warning("Feature has a second cloud associated but no MATH operation is defined");
|
|
}
|
|
}
|
|
|
|
//build the final SF name
|
|
QString resultSFName = /*cloud1Label + "." + */field1->getName();
|
|
|
|
//retrieve/create a SF to host the result
|
|
CCLib::ScalarField* resultSF = nullptr;
|
|
int sfIdx = corePoints.cloud->getScalarFieldIndexByName(qPrintable(resultSFName));
|
|
if (sfIdx >= 0)
|
|
{
|
|
//reuse the existing field
|
|
resultSF = corePoints.cloud->getScalarField(sfIdx);
|
|
}
|
|
else
|
|
{
|
|
//copy the SF1 field
|
|
resultSF = new ccScalarField(qPrintable(resultSFName));
|
|
if (!resultSF->resizeSafe(corePoints.cloud->size()))
|
|
{
|
|
error = "Not enough memory";
|
|
resultSF->release();
|
|
return false;
|
|
}
|
|
|
|
//copy the values
|
|
for (unsigned i = 0; i < corePoints.size(); ++i)
|
|
{
|
|
resultSF->setValue(i, field1->pointValue(corePoints.originIndex(i)));
|
|
}
|
|
resultSF->computeMinAndMax();
|
|
int newSFIdx = corePoints.cloud->addScalarField(static_cast<ccScalarField*>(resultSF));
|
|
|
|
if (generatedScalarFields)
|
|
{
|
|
//track the generated scalar-field
|
|
generatedScalarFields->push(corePoints.cloud, resultSF);
|
|
}
|
|
|
|
//update display
|
|
//if (corePoints.cloud->getDisplay())
|
|
{
|
|
corePoints.cloud->setCurrentDisplayedScalarField(newSFIdx);
|
|
//corePoints.cloud->getDisplay()->redraw();
|
|
//QCoreApplication::processEvents();
|
|
}
|
|
}
|
|
|
|
sourceName = resultSF->getName();
|
|
|
|
return true;
|
|
}
|
|
}
|
|
|
|
bool PointFeature::computeStat(const CCLib::DgmOctree::NeighboursSet& pointsInNeighbourhood, const QSharedPointer<IScalarFieldWrapper>& sourceField, double& outputValue) const
|
|
{
|
|
outputValue = std::numeric_limits<double>::quiet_NaN();
|
|
|
|
if (!sourceField || stat == Feature::NO_STAT)
|
|
{
|
|
//invalid input parameters
|
|
assert(false);
|
|
return false;
|
|
}
|
|
|
|
size_t kNN = pointsInNeighbourhood.size();
|
|
if (kNN == 0)
|
|
{
|
|
assert(false);
|
|
return false;
|
|
}
|
|
|
|
//specific case
|
|
if (stat == Feature::RANGE)
|
|
{
|
|
double minValue = 0;
|
|
double maxValue = 0;
|
|
|
|
for (size_t k = 0; k < kNN; ++k)
|
|
{
|
|
unsigned index = pointsInNeighbourhood[k].pointIndex;
|
|
double v = sourceField->pointValue(index);
|
|
|
|
//track min and max values
|
|
if (k != 0)
|
|
{
|
|
if (v < minValue)
|
|
minValue = v;
|
|
else if (v > maxValue)
|
|
maxValue = v;
|
|
}
|
|
else
|
|
{
|
|
minValue = maxValue = v;
|
|
}
|
|
}
|
|
|
|
outputValue = maxValue - minValue;
|
|
return true;
|
|
}
|
|
else
|
|
{
|
|
bool withSums = (stat == Feature::MEAN || stat == Feature::STD);
|
|
bool storeValues = (stat == Feature::MODE || stat == Feature::SKEW);
|
|
double sum = 0.0;
|
|
double sum2 = 0.0;
|
|
|
|
CCLib::WeibullDistribution::ScalarContainer values;
|
|
if (storeValues)
|
|
{
|
|
try
|
|
{
|
|
values.resize(kNN);
|
|
}
|
|
catch (const std::bad_alloc&)
|
|
{
|
|
ccLog::Warning("Not enough memory");
|
|
return false;
|
|
}
|
|
}
|
|
|
|
for (unsigned k = 0; k < kNN; ++k)
|
|
{
|
|
unsigned index = pointsInNeighbourhood[k].pointIndex;
|
|
double v = sourceField->pointValue(index);
|
|
|
|
if (withSums)
|
|
{
|
|
//compute average and std. dev.
|
|
sum += v;
|
|
sum2 += v * v;
|
|
}
|
|
|
|
if (storeValues)
|
|
{
|
|
values[k] = static_cast<ScalarType>(v);
|
|
}
|
|
}
|
|
|
|
switch (stat)
|
|
{
|
|
case Feature::MEAN:
|
|
{
|
|
outputValue = sum / kNN;
|
|
}
|
|
break;
|
|
|
|
case Feature::MODE:
|
|
{
|
|
CCLib::WeibullDistribution w;
|
|
w.computeParameters(values);
|
|
outputValue = w.computeMode();
|
|
}
|
|
break;
|
|
|
|
case Feature::STD:
|
|
{
|
|
outputValue = sqrt(std::abs(sum2 * kNN - sum * sum)) / kNN;
|
|
}
|
|
break;
|
|
|
|
case Feature::RANGE:
|
|
{
|
|
//we can't be here
|
|
assert(false);
|
|
}
|
|
return false;
|
|
|
|
case Feature::SKEW:
|
|
{
|
|
CCLib::WeibullDistribution w;
|
|
w.computeParameters(values);
|
|
outputValue = w.computeSkewness();
|
|
}
|
|
break;
|
|
|
|
default:
|
|
{
|
|
ccLog::Warning("Unhandled STAT measure");
|
|
assert(false);
|
|
}
|
|
return false;
|
|
|
|
}
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
bool PointFeature::finish(const CorePoints& corePoints, QString& error)
|
|
{
|
|
if (!scaled())
|
|
{
|
|
//nothing to do
|
|
return true;
|
|
}
|
|
|
|
if (!corePoints.cloud)
|
|
{
|
|
//invalid input
|
|
assert(false);
|
|
error = "internal error (no input core points)";
|
|
return false;
|
|
}
|
|
|
|
bool success = true;
|
|
|
|
if (statSF1)
|
|
{
|
|
statSF1->computeMinAndMax();
|
|
|
|
//update display
|
|
//if (corePoints.cloud->getDisplay())
|
|
{
|
|
int sfIndex1 = corePoints.cloud->getScalarFieldIndexByName(statSF1->getName());
|
|
corePoints.cloud->setCurrentDisplayedScalarField(sfIndex1);
|
|
//corePoints.cloud->getDisplay()->redraw();
|
|
//QCoreApplication::processEvents();
|
|
}
|
|
}
|
|
|
|
if (statSF2)
|
|
{
|
|
//now perform the math operation
|
|
if (op != Feature::NO_OPERATION)
|
|
{
|
|
if (!PerformMathOp(statSF1, statSF2, op))
|
|
{
|
|
error = "Failed to perform the MATH operation";
|
|
success = false;
|
|
}
|
|
}
|
|
|
|
if (keepStatSF2)
|
|
{
|
|
statSF2->computeMinAndMax();
|
|
}
|
|
else
|
|
{
|
|
int sfIndex2 = corePoints.cloud->getScalarFieldIndexByName(statSF2->getName());
|
|
if (sfIndex2 >= 0)
|
|
{
|
|
corePoints.cloud->deleteScalarField(sfIndex2);
|
|
}
|
|
else
|
|
{
|
|
assert(false);
|
|
statSF2->release();
|
|
}
|
|
statSF2 = nullptr;
|
|
}
|
|
}
|
|
|
|
return success;
|
|
}
|
|
|
|
QString PointFeature::toString() const
|
|
{
|
|
//default keyword otherwise
|
|
QString description = ToString(type);
|
|
|
|
//special case for the 'SF' type
|
|
if (type == SF)
|
|
{
|
|
//'SF#' + sf index
|
|
description += QString::number(sourceSFIndex);
|
|
}
|
|
|
|
if (scaled())
|
|
{
|
|
description += QString("_SC%1_%2").arg(scale).arg(StatToString(stat));
|
|
}
|
|
else
|
|
{
|
|
description += "_SC0";
|
|
}
|
|
|
|
description += "_" + cloud1Label;
|
|
|
|
if (cloud2 && !cloud2Label.isEmpty())
|
|
{
|
|
description += "_" + cloud2Label;
|
|
|
|
if (op != NO_OPERATION)
|
|
{
|
|
description += "_" + OpToString(op);
|
|
}
|
|
}
|
|
|
|
//Point features always have a scale equal to 0 by definition
|
|
return description;
|
|
}
|