In order to recognize the hangar target in high-resolution visible remote sensing image based on spectral features, the difference of spectral features between hangar and other conventional objects was analyzed, and the conventional Fisher discriminant method was used to classify and identify the hangar target, and a layer-by-layer stripping method was constructed to improve the problem of more misclassified pixels. The results show that the layer-by-layer stripping method can recognize more than 77% of the target pixels in the hangar, and the misclassification pixels are reduced by more than 85% compared with the conventional method. It can effectively remove the interference of most other objects in the image, and has higher recognition accuracy and efficiency.
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高嘉彬,潘军,孙梦南. 基于Fisher两类判别的机库目标识别[J]. 科学技术与工程, 2020, 20(15): 6158-6164. Gao Jiabin, Pan Jun, Sun Mengnan. Hangar Target Recognition Based on Fisher's Two Kinds of Discrimination[J]. Science Technology and Engineering,2020,20(15):6158-6164.