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Proceedings Paper

Survey of automatic target recognition technology for LADAR
Author(s): Xiao-qing Chen; Jun-guo Ma; Hong-zhong Zhao; Qiang Fu
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Paper Abstract

With the development of laser technology, Three-Dimensional (3D) imaging sensors based on Laser Radar (LADAR) gradually possess vast application in complicated battlefield of modern warfare. LADAR can detect much more targets than other sensors, such as infrared imaging and radar imaging. Range image and intensity image can be obtained through using LADAR, and they are suitable for automatic target recognition. At present the research of automatic target recognition technology for LADAR is a hot problem. Main work of this paper is composed of three parts: Firstly, current research and application of automatic target recognition technology for LADAR are demonstrated; Secondly, main problems in automatic target recognition for LADAR are thoroughly analyzed, including problems in five stages: preprocessing, target detection, feature extraction, founding pattern database and performance evaluation; Finally, a detailed survey is set forth about technical approach of automatic target recognition for LADAR, including six components: preprocessing, target detection, feature extraction, recognition, modeling and simulation, performance evaluation.

Paper Details

Date Published: 28 August 2009
PDF: 7 pages
Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 73820K (28 August 2009); doi: 10.1117/12.836395
Show Author Affiliations
Xiao-qing Chen, National Univ. of Defense Technology (China)
Tianjin Jinhang Institute of Technical Physics (China)
Jun-guo Ma, National Univ. of Defense Technology (China)
Hong-zhong Zhao, National Univ. of Defense Technology (China)
Qiang Fu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 7382:
International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging
Farzin Amzajerdian; Chun-qing Gao; Tian-yu Xie, Editor(s)

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