Invariant histograms and deformable template matching for SAR target recognition
作者： K. Ikeuchi , T. Shakunaga , M.D. Wheeler , T. Yamazaki
关键词:
摘要: Recognizing a target in synthetic-aperture radar (SAR) images is an important, yet challenging, application of the model-based vision technique. This paper describes SAR recognition system based on invariant histograms and deformable template matching techniques. An histogram values defined by geometric features such as points lines images. Although few invariants are sufficient to recognize target, we use all given possible feature pairs. redundant enables robust under severe occlusions typical scenarios. Multi-step examines existence object superimposing templates over potential energy field generated from or primitive features. It determines configuration which has minimum deformation best alignment with The deformability absorbs instability We have implemented evaluated performance using hybrid images, synthesized model signatures real background signatures.
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