3 May 2012 Maritime target identification in flash-ladar imagery
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Proceedings Volume 8391, Automatic Target Recognition XXII; 83910C (2012); doi: 10.1117/12.920264
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States
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.
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Walter Armbruster, Marcus Hammer, "Maritime target identification in flash-ladar imagery", Proc. SPIE 8391, Automatic Target Recognition XXII, 83910C (3 May 2012); doi: 10.1117/12.920264; https://doi.org/10.1117/12.920264
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KEYWORDS
3D modeling

Performance modeling

3D acquisition

Image segmentation

Sensors

LIDAR

Detection and tracking algorithms

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