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  4. Maritime target identification in flash-ladar imagery
 
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2012
Conference Paper
Title

Maritime target identification in flash-ladar imagery

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.
Author(s)
Armbruster, Walter
Hammer, Marcus  
Mainwork
Automatic Target Recognition XXII. Proceedings  
Conference
Conference "Automatic Target Recognition" 2012  
DOI
10.1117/12.920264
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • 3D object recognition

  • free-form object representation

  • generic object classification

  • pose estimation

  • 3D model matching

  • ship classification

  • ship identification

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