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Proceedings Paper

Target Cluster Detection In Cluttered Synthetic Aperture Radar Imagery
Author(s): James G. Landowski; Richard S. Loe
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Paper Abstract

A technique for detecting clusters of objects in noisy, cluttered, moderate resolution imagery is discussed. The algorithm is demonstrated on synthetic aperture radar (SAR) data. The approach is based on the use of a nonlinear spatial highpass or 'antimedian' filter, the complement of the median filter. The filter is coarsely tuned to produce maximum response for structures the size of or smaller than the expected object size. The filter is followed by histogram thresholding and connected region processing. Knowledge about the object's shape and the cluster deployment patterns is then used to eliminate false detections. This detection technique is suitable for any imagery where the objects of interest produce sensor responses that form contiguous regions. False clusters due to edge leakage are discussed an a solution formulated.

Paper Details

Date Published: 5 September 1989
PDF: 8 pages
Proc. SPIE 1099, Advances in Image Compression and Automatic Target Recognition, (5 September 1989); doi: 10.1117/12.960448
Show Author Affiliations
James G. Landowski, Lockheed Research and Development Laboratories (United States)
Richard S. Loe, Lockheed Research and Development Laboratories (United States)


Published in SPIE Proceedings Vol. 1099:
Advances in Image Compression and Automatic Target Recognition
Andrew G. Tescher, Editor(s)

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