The registration of high-resolution remote sensing image using multi-feature and multi-stage strategy

The image registration is an important technology in remote sensing image processing and applications. However, in recent years it is yet a challenging task especially to highresolution remote sensing images which contain more similar objects such as smooth areas, repetitive structures. In order to solve this problem, a novel registration method is proposed using multi-feature and multi-stage strategy in this paper. Firstly local features, the local density distribution and spatial relation, are employed to deal with the ambiguity in the similar objects and avoid mismatches, which are described by the DAISY and the RPCP (relative polar coordinates of point) respectively. Secondly the multi-stage strategy is used to avoid exhaustive search process and also improves the matching performance. Finally experimental results have shown the effectiveness of the proposed method.