Spatial compression of Seasat SAR imagery

Author

Chang, C.Y. ; Kwok, Ronald ; Curlander, John C.

Author_Institution

Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA

Volume

26

Issue

5

fYear

1988

fDate

9/1/1988 12:00:00 AM

Firstpage

673

Lastpage

685

Abstract

The results of a study of the techniques for spatial compression of synthetic-aperture-radar (SAR) imagery are summarized. Emphasis is on image-data volume reduction for archive and online storage applications while preserving the image resolution and radiometric fidelity. A quantitative analysis of various techniques, including vector quantization (VQ) and adaptive discrete cosine transform (ADCT), is presented. Various factors such as compression ratio, algorithm complexity, and image quality are considered in determining the optimal algorithm. The compression system requirements are established for electronic access of an online archive system based on the results of a survey of the science community. The various algorithms are presented and their results evaluated considering the effects of speckle noise and the wide dynamic range inherent in SAR imagery

Keywords

data compression; geophysical techniques; geophysics computing; oceanographic techniques; radar applications; remote sensing; Seasat SAR imagery; adaptive discrete cosine transform; algorithm complexity; data compression; image quality; image resolution; image-data volume reduction; land surface; ocean; online archive system; optimal algorithm; remote sensing; sea surface; spatial compression; synthetic-aperture-radar; technique; vector quantization; Decoding; Discrete cosine transforms; Dynamic range; Image coding; Image quality; Image resolution; Image storage; NASA; Radar imaging; Radar remote sensing; Radiometry; Remote sensing; Spaceborne radar; Speckle; Synthetic aperture radar; Vector quantization;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.7694

Filename

7694