Multiple image processing to enhance stationary target detection

Michael B. Sechtin; Michael C. Burl

doi:10.1117/12.59010

12 May 1992 Multiple image processing to enhance stationary target detection

Michael B. Sechtin, Michael C. Burl

Proceedings Volume 1630, Synthetic Aperture Radar; (1992) https://doi.org/10.1117/12.59010
Event: OE/LASE '92, 1992, Los Angeles, CA, United States

Abstract

One of the methods that can be used to enhance stationary target detection performance is to combine radar data from several looks at an area that may contain targets. This paper presents a study of several multilook techniques. The data used in the study were collected using the MIT Lincoln Laboratory 33.6 GHz Synthetic Aperture Radar (SAR) in the spotlight mode; this mode maintains the radar beam on the same area as the aircraft flies by. Consecutive 0.3 m by 0.3 m resolution images were registered to a single coordinate frame, and then combined in various ways. The processing techniques studied included some methods that combine the data prior to detection (such as noncoherent averaging, which reduces speckle), and others- that combine the detections from individual images (such as techniques that require m detections in n images).

Citation Download Citation

Michael B. Sechtin and Michael C. Burl "Multiple image processing to enhance stationary target detection", Proc. SPIE 1630, Synthetic Aperture Radar, (12 May 1992); https://doi.org/10.1117/12.59010

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