Multi-sensor images matching method based on multi-area histogram of oriented gradient is proposed. Firstly, the images were segmented into some sub-areas. Secondly, histogram of oriented gradient was calculated for every subregion. Then, the histograms similarity was computed with convergence degree as power. In the end, through two-step searching, the histogram with the highest similarity was found and the corresponding image was the matching result. The algorithm was tested using emulational images and real multi-sensor images. Experimental results showed that the new matching algorithm can match multi-sensor images effectively and efficiently. 