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Proceedings Paper

Maritime target identification in flash-ladar imagery
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Paper Abstract

The paper presents new techniques and processing results for automatic segmentation, shape classification, generic pose estimation, and model-based identification of naval vessels in laser radar imagery. The special characteristics of focal plane array laser radar systems such as multiple reflections and intensity-dependent range measurements are incorporated into the algorithms. The proposed 3D model matching technique is probabilistic, based on the range error distribution, correspondence errors, the detection probability of potentially visible model points and false alarm errors. The match algorithm is robust against incomplete and inaccurate models, each model having been generated semi-automatically from a single range image. A classification accuracy of about 96% was attained, using a maritime database with over 8000 flash laser radar images of 146 ships at various ranges and orientations together with a model library of 46 vessels. Applications include military maritime reconnaissance, coastal surveillance, harbor security and anti-piracy operations.

Paper Details

Date Published: 2 May 2012
PDF: 9 pages
Proc. SPIE 8391, Automatic Target Recognition XXII, 83910C (2 May 2012); doi: 10.1117/12.920264
Show Author Affiliations
Walter Armbruster, Fraunhofer Institute of Optronics, System Technologies, and Image Exploitation (Germany)
Marcus Hammer, Fraunhofer Institute of Optronics, System Technologies, and Image Exploitation (Germany)


Published in SPIE Proceedings Vol. 8391:
Automatic Target Recognition XXII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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