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Low-Complexity Lossless Compression of Hyperspectral Imagery Via Adaptive FilteringA 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.
Document ID
20070036007
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Klimesh, Matthew A.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 24, 2013
Publication Date
July 26, 2005
Subject Category
Instrumentation And Photography
Meeting Information
Meeting: Consultative Committee for Space Data Systems (CCSDS) Area and Working Group Meeting, Data Compression Working Group
Location: Atlanta, GA
Country: United States
Start Date: September 13, 2005
End Date: September 15, 2005
Distribution Limits
Public
Copyright
Other
Keywords
lossless data compression
hyperspectral image compression

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