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Proceedings Paper

Performance of multidimensional algorithms for target detection in ladar imagery
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Paper Abstract

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.

Paper Details

Date Published: 27 November 2002
PDF: 14 pages
Proc. SPIE 4789, Algorithms and Systems for Optical Information Processing VI, (27 November 2002); doi: 10.1117/12.450869
Show Author Affiliations
Abhijit Mahalanobis, Lockheed Martin Missiles and Fire Control (United States)
Alan J. Van Nevel, Naval Air Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 4789:
Algorithms and Systems for Optical Information Processing VI
Bahram Javidi; Demetri Psaltis, Editor(s)

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