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Proceedings Paper

Adaptive SAR raw data reduction using fuzzy logic
Author(s): Ursula C. Benz
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Paper Abstract

The Earth's surface and subsurface can be mapped with a very high resolution using synthetic aperture radar (SAR). It is an effective tool for remote sensing, since it works nearly independent from daylight and weather conditions. However, the huge amount of signal data difficults the on-board storage and the data downlink to the ground station. This paper presents a raw data compression algorithm using fuzzy logic, the fuzzy block adaptive quantizer (FBAQ), which improves the efficiency of the system. The data rate is reduced by a factor of 3 with a slight deterioration of the image quality. The performance of the FBAQ is compared with the traditional algorithm, a block adaptive quantizer and its hardware design for implementation in an airborne SAR system is shown.

Paper Details

Date Published: 13 June 1995
PDF: 11 pages
Proc. SPIE 2493, Applications of Fuzzy Logic Technology II, (13 June 1995); doi: 10.1117/12.211796
Show Author Affiliations
Ursula C. Benz, German Aerospace Research Establishment (Germany)

Published in SPIE Proceedings Vol. 2493:
Applications of Fuzzy Logic Technology II
Bruno Bosacchi; James C. Bezdek, Editor(s)

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