24 September 2001 Hierarchical modular structure for automatic target recognition systems
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Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441624
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Numerous methods have been applied in automatic target recognition (ATR) systems now, and a lot of factors can impact the system robustness and the recognition ratio. There is always a need for a system structure to adapt different recognition algorithms and provide rapid performance evaluation and comparisons of these algorithms. In this paper, a hierarchical modular structure for automatic target recognition system is brought forward. With the applying of the hierarchical target recognition method, a complicated multi-class recognition problem can be disintegrated into simpler recognition problems with fewer classes in different layers. Meanwhile, an ATR system with the modular structure consists of relatively stand-alone modules that implement different functions such as data acquisition, feature extraction and target recognition. Different algorithms can be implemented, providing optional modules for the system construction. Designers can easily choose between algorithms, adjust and optimize these modules respectively and provide the optimal design for the whole system.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rui Song, Rui Song, Hu Ji, Hu Ji, Shengping Xia, Shengping Xia, Weidong Hu, Weidong Hu, Wenxian Yu, Wenxian Yu, "Hierarchical modular structure for automatic target recognition systems", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441624; https://doi.org/10.1117/12.441624


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