Spectral/Spatial Hyperspectral Image Compression
نویسندگان
چکیده
^Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland, Baltimore County, Baltimore, MD 21250 ^Computer Science Department, University of Extremadura Avda. de la Universidad s/n,10.071 Caceres, SPAIN ^Center for Space and Remote Sensing Research Graduate Institute of Space Science Department of Computer Science and Information Engineering National Central University, Chungli, Taiwan, ROC "^Department of Electrical and Computer Engineering Mississippi State University, Mississippi State, MS 39762 ^Department of Civil and Environmental Engineering University of Maryland, Baltimore County, Baltimore, MD 21250
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3D Gabor Based Hyperspectral Anomaly Detection
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Hyperspectral image compression has become increasingly important in data exploitation because of enormous data volumes and high redundancy provided by hundreds of contiguous spectral channels. Since a hyperspectral image can be viewed as a 3-dimensional (3D) image cube, many efforts have been devoted to extending 2D image compression techniques to perform 3D image compression on hyperspectral ...
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