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10 June 1996 SAR target indexing with hierarchical distance transforms
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This paper describes an approach to simultaneous estimation of target category and pose from SAR imagery using a database of target model distance transforms organized in a hierarchical tree structure. Distance transforms are shown to provide a convenient method for distortion-based model matching without requiring specific feature associations. The technique provides an approach for categorizing targets under adverse conditions including partial obscuration and interference. We show that construction of a target hierarchy using clustering techniques can lead to a tree searching strategy that prunes the tree during the search and is guaranteed to locate the best-matching target models. We also provide empirical results using synthetic target model images produced by Xpatch and show how performance is affected by signature contamination.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas W. Ryan and B. Egaas "SAR target indexing with hierarchical distance transforms", Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996);


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