Multi-sensor SAR image coregistration based on stable convex corner points and double matching network

Since significant differences exist in imaging principle and parameters of different synthetic aperture radar (SAR) sensors, the detection of stable consistent features and accurate feature matching are difficult to implement in multi-sensor SAR image coregistration. To solve these problems, this study proposed a coregistration method based on stable convex corner point and double matching network. The stable convex corner points were detected from stable convex polygons, which were obtained by the proposed local stable extremal region extraction method, convex polygon fitting, and normalization. The double matching network was divided into coarse and fine matching. We utilized spatial relationships of the stable convex polygons to build a coarse matching network, and the fine matching network was formed by stable convex corner points. Precise matching was achieved with region features and spatial relations. Experimental results on multi-sensor SAR images showed that the proposed method had superior performance.