29 August 2016 An evaluation method of ATR algorithm based on decision tree
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Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100330B (2016) https://doi.org/10.1117/12.2245189
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yifei Zhang, Bin Zhou, Hao Dou, Delie Ming, "An evaluation method of ATR algorithm based on decision tree", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100330B (29 August 2016); doi: 10.1117/12.2245189; https://doi.org/10.1117/12.2245189
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