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适配性分析是合成孔径雷达(Synthetic aperture radar,SAR)图像匹配的重要研究内容,它研究图像是否适合选作基准图的问题.本文研究基于点特征配准方法的异源SAR图像适配性分析,以特征点的数目及稳健程度来度量SAR图像适配性,提出基于点特征的异源图像适配性评价算法,并构建出一种评价特征点稳定性的准则,以指导选取合适的退化模型.实验结果表明本文所提出的点特征适配性评价机制能有效地度量指定SAR图像的适配性,从而近似得出保障图源的适配性排序结果.
Adaptability analysis is an important research area of Synthetic Aperture Radar (SAR) image matching, and it studies whether the image is suitable as a baseline dataset.In this paper, we study the fitting of heterologous SAR images based on the point feature registration Analysis, the number of feature points and the degree of robustness to measure the SAR image adaptability, based on the point feature of the heterologous image adaptation evaluation algorithm, and to build a criterion to evaluate the stability of feature points to guide the selection of the appropriate Regression model.The experimental results show that the proposed adaptive feature point matching mechanism can effectively measure the adaptability of the specified SAR image and thus approximate the matching result of the guaranteed graph source.