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/*
* Copyright (C) 2005-2017 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.
*/
// Software Guide : BeginCommandLineArgs
// INPUTS: {w002n44e.shp}
// OUTPUTS: {ArcachonRasterizedCoastline.png}
// Software Guide : EndCommandLineArgs
// Software Guide : BeginLatex
//
// The \doxygen{otb}{VectorDataToMapFilter} allows performing
// rasterization of a given vector data as a binary mask. This example
// will demonstrate how to use this filter to perform rasterization of
// the SRTM water body masks available here:
// \url{http://dds.cr.usgs.gov/srtm/version2_1/SWBD/}.
//
// First step to use this filter is to include the appropriate headers:
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
#include "otbVectorData.h"
#include "otbImage.h"
#include "otbVectorDataToMapFilter.h"
// Software Guide : EndCodeSnippet
#include "otbImageFileWriter.h"
#include "otbVectorDataProjectionFilter.h"
#include "itkRGBAPixel.h"
#include "itkChangeLabelImageFilter.h"
#include "otbVectorDataFileReader.h"
int main(int argc, char * argv[])
{
// Software Guide : BeginLatex
//
// Then, we need to define the appropriate VectorData and Image
// type.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef unsigned char PixelType;
typedef otb::Image<PixelType, 2> ImageType;
typedef otb::VectorData<> VectorDataType;
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Using these typedefs, we can define and instantiate the
// \doxygen{otb}{VectorDataToMapFilter}.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef otb::VectorDataToMapFilter<VectorDataType,
ImageType> VectorDataToMapFilterType;
VectorDataToMapFilterType::Pointer vectorDataRendering
= VectorDataToMapFilterType::New();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We will also define a \doxygen{otb}{VectorDataFileReader} to read
// the VectorData, as well as a
// \doxygen{otb}{VectorDataProjectionFilter} to reproject our data
// in a given map projection.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef otb::VectorDataFileReader<VectorDataType> VectorDataFileReaderType;
VectorDataFileReaderType::Pointer reader = VectorDataFileReaderType::New();
reader->SetFileName(argv[1]);
typedef otb::VectorDataProjectionFilter<VectorDataType,
VectorDataType> ProjectionFilterType;
ProjectionFilterType::Pointer projection = ProjectionFilterType::New();
projection->SetInput(reader->GetOutput());
// Software Guide : EndCodeSnippet
std::string projectionRefWkt = "PROJCS[\"WGS 84 / UTM zone 30N\", GEOGCS[\"WGS 84\", DATUM[\"WGS_1984\", SPHEROID[\"WGS 84\", 6378137, 298.257223563, AUTHORITY[\"EPSG\",\"7030\"]], AUTHORITY[\"EPSG\",\"6326\"]], PRIMEM[\"Greenwich\", 0, AUTHORITY[\"EPSG\",\"8901\"]], UNIT[\"degree\", 0.01745329251994328, AUTHORITY[\"EPSG\",\"9122\"]], AUTHORITY[\"EPSG\",\"4326\"]], UNIT[\"metre\", 1, AUTHORITY[\"EPSG\",\"9001\"]], PROJECTION[\"Transverse_Mercator\"], PARAMETER[\"latitude_of_origin\", 0], PARAMETER[\"central_meridian\", -3], PARAMETER[\"scale_factor\", 0.9996], PARAMETER[\"false_easting\", 500000], PARAMETER[\"false_northing\", 0], AUTHORITY[\"EPSG\",\"32630\"], AXIS[\"Easting\", EAST], AXIS[\"Northing\", NORTH]]";
// Software Guide : BeginLatex
//
// Next step is to specify the map projection in which to reproject
// our vector.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
projection->SetOutputProjectionRef(projectionRefWkt);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Since the input vector can be pretty big, we will perform an
// extract of the region of interest using the
// \doxygen{otb}{VectorDataExtractROI}.
//
// The first step is to define the region of interest.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef otb::RemoteSensingRegion<double> RegionType;
ImageType::SizeType size;
size[0] = 500;
size[1] = 500;
ImageType::PointType origin;
origin[0] = 633602; //UL easting
origin[1] = 4961679; //UL northing
ImageType::SpacingType spacing;
spacing[0] = 56;
spacing[1] = -56;
RegionType region;
RegionType::SizeType sizeInUnit;
sizeInUnit[0] = size[0] * spacing[0];
sizeInUnit[1] = size[1] * spacing[1];
region.SetSize(sizeInUnit);
region.SetOrigin(origin);
region.SetRegionProjection(projectionRefWkt);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Then, we define and set-up the
// \doxygen{otb}{VectorDataExtractROI} filter using the region.
//
// Software Guide : EndLatex
// Software Guide :: BeginCodeSnippet
typedef otb::VectorDataExtractROI<VectorDataType> ExtractROIType;
ExtractROIType::Pointer extractROI = ExtractROIType::New();
extractROI->SetRegion(region);
extractROI->SetInput(projection->GetOutput());
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Now, we can plug the the ROI filter to the
// \doxygen{otb}{VectorDataToMapFilter}.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
vectorDataRendering->SetInput(extractROI->GetOutput());
vectorDataRendering->SetSize(size);
vectorDataRendering->SetOrigin(origin);
vectorDataRendering->SetSpacing(spacing);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Since we are interested in binary rendering, we need to set the
// appropriate rendering style.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
vectorDataRendering->SetRenderingStyleType(VectorDataToMapFilterType::Binary);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The rendering filter will return a binary image with label 0 when
// outside the rasterized vector features and 255 when inside. To
// get a fancier rendering we will substitute a blue color to the
// foreground value and green to the background value.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef itk::RGBAPixel<unsigned char> RGBAPixelType;
typedef otb::Image<RGBAPixelType, 2> RGBAImageType;
typedef itk::ChangeLabelImageFilter<ImageType,
RGBAImageType> ChangeLabelImageFilterType;
ChangeLabelImageFilterType::Pointer
changeLabelFilter = ChangeLabelImageFilterType::New();
RGBAPixelType green, blue;
green.SetAlpha(255);
green.SetGreen(255);
blue.SetAlpha(255);
blue.SetBlue(255);
changeLabelFilter->SetChange(0, blue);
changeLabelFilter->SetChange(255, green);
changeLabelFilter->SetInput(vectorDataRendering->GetOutput());
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Last step is to write the image to the disk using a
// \doxygen{otb}{ImageFileWriter}.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef otb::ImageFileWriter<RGBAImageType> WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetInput(changeLabelFilter->GetOutput());
writer->SetFileName(argv[2]);
writer->Update();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// \begin{figure}
// \center
// \includegraphics[width=0.4\textwidth]{ArcachonRasterizedCoastline.eps}
// \itkcaption[Rasterized SRTM water bodies near Arcachon, France.]{Rasterized SRTM water bodies near Arcachon, France.}
// \label{fig:RasterizationFilterOutput}
// \end{figure}
//
// Figure \ref{fig:RasterizationFilterOutput} illustrates the use
// of the rasterization filter on SRTM water bodies mask near
// Arcachon in France. Ocean appears in blue while land appears in green.
//
// Software Guide : EndLatex
return EXIT_SUCCESS;
}
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