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Proceedings Paper

An evaluation method of ATR algorithm based on decision tree
Author(s): Yifei Zhang; Bin Zhou; Hao Dou; Delie Ming
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Paper Abstract

Combined with the characteristics of the forward-looking template matching algorithm, this paper proposed an evaluation method for ATR algorithm based on decision tree. The image features of the simulated real-time images and the template images are extracted as the input attribute, and the recognition results of the real-time images are used as the label. The input attribute and the label make up the training samples, and a series of decision trees are generated through the CART algorithm. As the real-time image of the target area is difficult to obtain, the image features of the simulated real-time images of the target area are extracted, and then the recognition results and their confidence level are predicted by using different decision trees corresponding to different ATR algorithms. The ATR algorithms are evaluated by comparing the prediction results and their confidence level.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100330B (29 August 2016); doi: 10.1117/12.2245189
Show Author Affiliations
Yifei Zhang, Huazhong Univ. of Science and Technology (China)
Bin Zhou, Beijing Aerospace Automatic Control Institute (China)
Hao Dou, Huazhong Univ. of Science and Technology (China)
Delie Ming, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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