Image content dependent compression of polarimetric SAR data

Author

Benz, Ursula ; Fischer, J. ; Jager, Unther

Author_Institution

Deutsches Zentrum fur Luft- und Raumfahrt e.V., Wessling, Germany

Volume

6

fYear

2000

fDate

2000

Firstpage

2645

Abstract

This paper presents a novel technique for flexible SAR image compression in wavelet domain. Two approaches are considered: a) Compression leading to a scene independent, very homogenous signal-to-distortion noise ratio and constant phase error. Reconstruction quality varies-dependent from the required compression ratio-from good visible quality to nearly lossless reconstruction. b) Compression leading to high reconstruction quality for regions of interest and high compression ratio on background regions

Keywords

data compression; geophysical signal processing; geophysical techniques; image coding; radar imaging; radar polarimetry; radar signal processing; remote sensing by radar; synthetic aperture radar; terrain mapping; wavelet transforms; SAR; compression; constant phase error; geophysical measurement technique; high compression ratio; high reconstruction quality; homogenous signal-to-distortion noise ratio; image compression; image content; land surface; polarimetric SAR; radar imaging; radar polarimetry; radar remote sensing; scene independent; synthetic aperture radar; terrain mapping; wavelet domain; Bandwidth; Data compression; Image coding; Image quality; Image reconstruction; Layout; Phase noise; Polarimetry; Signal to noise ratio; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-6359-0

Type

conf

DOI

10.1109/IGARSS.2000.859668

Filename

859668