Abstract:Hyper spectral images provide a more detailed information than multispectral images, as every pixel in the image contains contiguous spectral bands to characterize the details in the scene. Since hyper spectral images occupy large memory space and take more processing time for the transmission, it is highly desirable to use an efficient compression technique. In this paper we discuss hyper spectral image compression using matrix factorization based on a proposed non-iterative method and compare with the Tucker… Show more
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