Near-lossless compression of SAR imagery using gradient adaptive lattice filters

Synthetic aperture radar (SAR) data collections can cover large areas at high resolution, generating massive amounts of data. Many effective compression techniques exist that can reduce the volume of data for storage and transmission with slight loss of information. This paper addresses a near-lossl...

Full description

Saved in:
Bibliographic Details
Published inConference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256) Vol. 1; pp. 663 - 666 vol.1
Main Author Ives, R.W.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2001
Subjects
Adaptive filters
Bit rate
Compression algorithms
Decorrelation
Entropy
Image coding
Lattices
Pixel
Radar imaging
Synthetic aperture radar
Online AccessGet full text
ISBN078037147X
9780780371477
ISSN1058-6393
DOI10.1109/ACSSC.2001.987007

Cover

More Information
Summary:Synthetic aperture radar (SAR) data collections can cover large areas at high resolution, generating massive amounts of data. Many effective compression techniques exist that can reduce the volume of data for storage and transmission with slight loss of information. This paper addresses a near-lossless three-stage SAR compression scheme. The first stage uses a gradient adaptive lattice filter to decorrelate the data. In the second stage, the residue is then subject to quantization. Finally, the quantized residue is entropy coded.
ISBN:078037147X
9780780371477
ISSN:1058-6393
DOI:10.1109/ACSSC.2001.987007