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27 November 2002 Performance of multidimensional algorithms for target detection in LADAR imagery
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In this paper, we describe a new method of processing LADAR imagery for detecting and recognizing targets. LADAR is a unique sensor in that it allows data to be manipulated in 3D coordinates and "range-corrected" so that all objects are represented at their true size. For correlation-based detection methods, this leads to a significant reduction in the number of filters that need to be used. The detected regions of interest can be processed in 3D space using distortion tolerant volume correlation filters. We also discuss the performance of the algorithms for target detection on a set of LADAR images.
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Abhijit Mahalanobis and Alan J. Van Nevel "Performance of multidimensional algorithms for target detection in LADAR imagery", Proc. SPIE 4789, Algorithms and Systems for Optical Information Processing VI, (27 November 2002);

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