Adaptive SAR Raw Data Reduction Using Fuzzy Logic.

Kurzfassung

Synthetic aperture radar (SAR) is an effective tool for remote sensing. 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 Locic, 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 degradation of the image quality. The performance of the FBAQ is compared with the traditional algorithm, a Block Adaptive Quantizer (BAQ) and its hardware design for implementation in an airborne SAR system is shown.