Abstract

In the paper a multilook method of dominant scatterer removal for SAR image enhancement is presented. Sidelobes produced by very strong scatterers in range and cross-range dimension form a characteristic cross-shaped pattern centred on dominant scatterer. The presence of these sidelobes decreases the overall image quality and can mask weak scatterers close to the strong one. The proposed method is an expanded version of algorithm based on adaptive removal of modelled strong scatterer echoes from raw radar data. The use of multilook technique gives much better results of dasiacleaningpsila the signal. Like in the raw radar signal is reprocessed after removal, and strong scatterers are then added to the final image. The multilook cleaning method has been successfully tested using raw radar data.

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