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定义了图像的自匹配性 ,并用自匹配系数作为光学景象匹配区的选定准则 ,和以前提出的相关长度、独立像元数准则进行了分析对比 ,说明了这两个准则的实质。通过分析和实验得出了相对于相关匹配算法而言 ,自匹配系数准则效果更佳的结论 ,对于光学景象匹配区的选择具有一定的实用价值
The self-matching of the image is defined. The self-match coefficient is selected as the matching criterion for the optical scene matching. The correlation length and the number of independent pixels previously proposed are analyzed and compared, and the essence of these two criteria is illustrated. Through the analysis and experiment, it is concluded that the self-matching coefficient criterion is better than the correlation matching algorithm, which has some practical value for the selection of optical scene matching area