Image fusion techniques allow combination of images with different spectral and spatial resolution keeping the radiometric information. Huge effort has been put in developing fusion methods that preserve the spectral information and increase detail information in the hybrid product produced by fusion process.
IHS method consists on transforming the R,G and B bands of the multispectral image into IHS components, replacing the intensity component by the panchromatic image, and performing the inverse transformation to obtain a high spatial resolution multispectral image.
CBERS HRC Image (panchromatic image)
CBERS CCD Image (multispectral image)
IHS Fused Image
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// Openning the the input images te::rst::Raster panchromaticImage; te::rst::Raster multispectralImage; // Creating the algorithm parameters te::rp::IHSFusion::InputParameters algoInputParams; algoInputParams.m_lowResRasterPtr = &multispectralImage; algoInputParams.m_lowResRasterRedBandIndex = 0; algoInputParams.m_lowResRasterGreenBandIndex = 1; algoInputParams.m_lowResRasterBlueBandIndex = 2; algoInputParams.m_highResRasterPtr = &panchromaticImage; algoInputParams.m_highResRasterBand = 0; te::rp::IHSFusion::OutputParameters algoOutputParams; algoOutputParams.m_rInfo["URI"] = "FusedImage.tif"; algoOutputParams.m_rType = "GDAL"; // Executing the algorithm te::rp::IHSFusion algorithmInstance; algorithmInstance.initialize( algoInputParams ); algorithmInstance.execute( algoOutputParams );
FONSECA, L. M. G. ; Laércio Massaru Namikawa ; Castejon, E. F. ; CARVALHO, L. A. S. ; Pinho, C. M. D. ; Pagamisse, A. . Image Fusion for Remote Sensing Applications. In: Yufeng Zheng. (Org.). Image Fusion and Its Applications. 1ed.: InTech, 2011, v. , p. 153-178.