Bi-SOGC: A Graph Matching Approach Based on Bilateral KNN Spatial Orders Around Geometric Centers for Remote Sensing Image Registration

Abstract

In this letter, Bilateral K Nearest Neighbors Spatial Orders around Geometric Centers (Bi-SOGC) is presented to match feature points for remote sensing images with large affine transformation, similar patterns or multispectral images. In Bi-SOGC, both the bilateral adjacent relations and the spatial angular orders are considered. Bilateral K Nearest Neighbors (BiKNN) descriptors are proposed to describe the adjacent information. The vertices with maximum BiKNN difference are deemed as candidate outliers. The invariant spatial angular orders for affine transformation are used to deal with outliers in pseudo isomorphic structures, geometric centers are taken as the reference points. To increase the correct matching points and eliminate stubborn outliers, a recovery strategy utilizes the addition of fresh inliers to break down the stabilized pseudo graphs of the residual sets. Experimental results demonstrate the superior performance of this algorithm under various conditions for remote sensing images.