JPL Technical Report Server

Low-complexity lossless compression of hyperspectral imagery via adaptive filtering

Low-complexity lossless compression of hyperspectral imagery via adaptive filtering

Klimesh, Matthew A.
URI: http://hdl.handle.net/2014/40561
Date: 2005-09-13
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.

Show full item record

Items in TRS are protected by copyright, but are furnished with U.S. government purpose use rights.

Files in this item

Thumbnail
Name: 05-2522.pdf
Size: 575.8Kb
Format: PDF
View/Open

This item appears in the following Collection(s)

Search


Browse

My Account