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/*
* Copyright (C) 2005-2020 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/* Example usage:
./LAIFromNDVIImageTransform Input/verySmallFSATSW.tif \
Output/siTvLAIFromNDVIImageTransformExampleTest_verySmallFSATSW.tif \
Output/verySmallFSATSW_visu.png \
Output/siTvLAIFromNDVIImageTransformExampleTest_verySmallFSATSW_visu.png \
1 \
4
*/
//
// This example presents a way to generate LAI (Leaf Area Index) image using formula dedicated to Formosat2.
// LAI Image is used as an input in Image Simulation process.
//
// Let's look at the minimal code required to use this algorithm. First, the
// following headers must be included.
#include "itkUnaryFunctorImageFilter.h"
#include "otbVegetationIndicesFunctor.h"
#include "otbImage.h"
#include "otbVectorImage.h"
#include "otbImageFileReader.h"
#include "otbImageFileWriter.h"
#include "itkRescaleIntensityImageFilter.h"
int main(int argc, char* argv[])
{
if (argc != 7)
{
std::cerr << "Wrong Parameters " << std::endl;
return EXIT_FAILURE;
}
const unsigned int Dimension = 2;
using InputImageType = otb::VectorImage<double, Dimension>;
using OutputImageType = otb::Image<double, Dimension>;
using ImageVisuType = otb::Image<unsigned char, Dimension>;
using ReaderType = otb::ImageFileReader<InputImageType>;
using WriterType = otb::ImageFileWriter<OutputImageType>;
using VisuWriterType = otb::ImageFileWriter<ImageVisuType>;
using InWriterType = otb::ImageFileWriter<InputImageType>;
// Filter type is a generic \doxygen{itk}{UnaryFunctorImageFilter} using Formosat2 specific LAI
// \doxygen{otb}{LAIFromNDVIFormosat2Functor}.
using FunctorType = otb::Functor::LAIFromNDVIFormosat2Functor<InputImageType::InternalPixelType, OutputImageType::PixelType>;
using LAIFRomNDVIImageFilterType = itk::UnaryFunctorImageFilter<InputImageType, OutputImageType, FunctorType>;
// Instantiating object
// Next the filter is created by invoking the \code{New()}~method and
// assigning the result to a \doxygen{itk}{SmartPointer}.
LAIFRomNDVIImageFilterType::Pointer filter = LAIFRomNDVIImageFilterType::New();
ReaderType::Pointer reader = ReaderType::New();
WriterType::Pointer writer = WriterType::New();
InWriterType::Pointer inWriter = InWriterType::New();
VisuWriterType::Pointer visuWriter = VisuWriterType::New();
char* InputName = argv[1];
char* OutputName1 = argv[2];
char* OutputName2 = argv[3];
char* OutputName3 = argv[4];
reader->SetFileName(InputName);
// filter input is set with input image
//
filter->SetInput(reader->GetOutput());
// then red and nir channels index are set using \code{SetRedIndex()} and \code{SetNIRIndex()}
//
unsigned int redChannel = static_cast<unsigned int>(atoi(argv[5]));
unsigned int nirChannel = static_cast<unsigned int>(atoi(argv[6]));
filter->GetFunctor().SetBandIndex(CommonBandNames::RED, redChannel);
filter->GetFunctor().SetBandIndex(CommonBandNames::NIR, nirChannel);
// The invocation of the \code{Update()} method triggers the
// execution of the pipeline.
filter->Update();
writer->SetFileName(OutputName1);
writer->SetInput(filter->GetOutput());
writer->Update();
// rescale data
inWriter->SetFileName(OutputName2);
// typedef itk::RescaleIntensityImageFilter<InputImageType,
// OutputImageType> RescalerType;
// RescalerType::Pointer rescaler = RescalerType::New();
// rescaler->SetInput(reader->GetOutput());
// rescaler->SetOutputMinimum(0);
// rescaler->SetOutputMaximum(255);
inWriter->SetInput(reader->GetOutput());
inWriter->Update();
visuWriter->SetFileName(OutputName3);
using RescalerTypeOut = itk::RescaleIntensityImageFilter<OutputImageType, ImageVisuType>;
RescalerTypeOut::Pointer rescaler = RescalerTypeOut::New();
rescaler->SetInput(filter->GetOutput());
rescaler->SetOutputMinimum(0);
rescaler->SetOutputMaximum(255);
visuWriter->SetInput(rescaler->GetOutput());
visuWriter->Update();
// \begin{figure}
// \center
// \includegraphics[width=0.44\textwidth]{verySmallFSATSW_visu.eps}
// \includegraphics[width=0.44\textwidth]{siTvLAIFromNDVIImageTransformExampleTest_verySmallFSATSW_visu.eps}
// \itkcaption[LAIFromNDVIImageTransform Filter]{LAI generation \emph{(right)} from NDVI applied on Formosat 2 Image \emph{(left)} .}
// \label{fig:LAIFromNDVIImageTransform}
// \end{figure}
//
// Figure \ref{fig:LAIFromNDVIImageTransform} illustrates the LAI generation using Formosat 2 data.
//
return EXIT_SUCCESS;
}
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