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Download with free trialA collection of spectral images over several wavelength intervals for the same scene is called a multispectral or hyperspectral image. Hyperspectral imagery consists of much narrower bands (10-20nm). A Hyperspectral image could have hundreds of thousands of bands. Hyperspectral imaging is related to multispectral imaging. In this paper we present a implementation in C using Microsoft visual studio of lossless hyperspectral and multispectral image compression algorithm given by CCSDS. This paper is used to show the effect of parameter settings on the overall performance of the CCSDS standard i.e. number of prediction bands, the local sum type, the prediction mode and the value of Vmax because these parameter values are needed for Hardware implementation. The algorithm is verified by applying AVIRIS data set as input to the system and also reconstructing the image pixel by pixel.
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A collection of spectral images over several wavelength intervals for the same scene is called a multispectral or hyperspectral image. Hyperspectral imagery consists of much narrower bands (10-20nm). A Hyperspectral image could have hundreds of thousands of bands. Hyperspectral imaging is related to multispectral imaging. In this paper we present a implementation in C using Microsoft visual studio of lossless hyperspectral and multispectral image compression algorithm given by CCSDS. This paper is used to show the effect of parameter settings on the overall performance of the CCSDS standard i.e. number of prediction bands, the local sum type, the prediction mode and the value of Vmax because these parameter values are needed for Hardware implementation. The algorithm is verified by applying AVIRIS data set as input to the system and also reconstructing the image pixel by pixel.
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