The key technology in aircraft guidance and medical diagnosis is the multi-sensor images matching. In this paper, a matching method based on binary auto-encoding features is proposed for the multi-sensor image with large difference in the imaging characteristics. Firstly, the image is convoluted and encoded by the template. Secondly, the convolution result is pooled, binaried, and converted into binary representation. Then, the binary auto-encoding feature is obtained. Lastly, the feature similarity is calculated by using the binary bit manipulation, and the matching processing is realized efficiently. Finally, a dataset of multi-sensor images is built to test the performance of different matching methods. Experimental results show that our method can achieve highest matching rate.
['Yidan Xu', 'Jian Zhou', 'Li Zhuang']
Binary auto encoding feature for multi-sensor image matching