Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996 · 16 citations · 1 references
ComputingComputer ScienceArtificial IntelligenceComputer VisionRemote SensingObject RecognitionPattern RecognitionRadar Signal ProcessingRadar SystemsSearching AlgorithmsVisual SearchHypothesis SpaceHypothesis Space DesignSynthetic Aperture RadarSynthetic Aperture Radar ClassificationSynthetic Aperture Radar Image AnalysisSynthetic Aperture Radar SensorsTarget Classification
The Wright Laboratory/DARPA MSTAR program is developing an innovative model-based vision approach to SAR ATR. Central to that approach is the predict-extract-match-search) subsystem that implements a 'hypothesis and test' approach to target recognition. The search module directs the search through hypothesis space and seeks to minimize the computational effort of that search. This paper presents the key concepts and issues behind the design of the MSTAR search module.
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