Adaptive SAR raw data reduction using fuzzy logic

Ursula C. Benz

doi:10.1117/12.211796

13 June 1995 Adaptive SAR raw data reduction using fuzzy logic

Ursula C. Benz

Proceedings Volume 2493, Applications of Fuzzy Logic Technology II; (1995) https://doi.org/10.1117/12.211796
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Ursula C. Benz "Adaptive SAR raw data reduction using fuzzy logic", Proc. SPIE 2493, Applications of Fuzzy Logic Technology II, (13 June 1995); https://doi.org/10.1117/12.211796

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