Paper
28 August 2009 Survey of automatic target recognition technology for LADAR
Xiao-qing Chen, Jun-guo Ma, Hong-zhong Zhao, Qiang Fu
Author Affiliations +
Proceedings Volume 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging; 73820K (2009) https://doi.org/10.1117/12.836395
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiao-qing Chen, Jun-guo Ma, Hong-zhong Zhao, and Qiang Fu "Survey of automatic target recognition technology for LADAR", Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 73820K (28 August 2009); https://doi.org/10.1117/12.836395
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Cited by 1 scholarly publication.
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KEYWORDS
Automatic target recognition

LIDAR

Target detection

Target recognition

Radar

Laser imaging

Image segmentation

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