Keywords:lossless data compression; hyperspectral image compression
Publisher:Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2006.
Citation:Consultative Committee for Space Data Systems (CCSDS) Area and Working Group Meeting, Data Compression Working Group, Atlanta, Georgia, September 13-15, 2005
Abstract:
A low-complexity, adaptive predictive technique for lossless compression of hyperspectral data is presented. The technique relies on the sign algorithm from the repertoire of adaptive filtering. The compression effectiveness obtained with the technique is competitive with that of the best of previously described techniques with similar complexity.