A novel multi-sensor image matching method based on spatial sub-area congruency is proposed. In this method, images were segmented into sub-areas with same size. The structure feature represented by matrix of surrounding similarity was obtained by calculating the similarity of intensity histogram of each pair of adjacent sub-areas, and was used to compute spatial sub-area congruency. Through employing optimized searching algorithm, the matching result was acquired. Experimental results show that the proposed method can match multi-sensor images stably and fast and outperforms conventional methods