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.
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