Heterogeneous image matching method based on deep learning

The invention relates to a heterogeneous image matching method based on deep learning. A heterogeneous image block data set is made; image preprocessing is carried out; an image block feature map is obtained; a feature vector is obtained based on the feature map; feature map fusion and normalization are carried out; an image matching network is trained; and a matching probability is predicted. Therefore, a problem of over-fitting of heterogeneous image block matching in the prior art is solved; the performance of the network is improved substantially; the training efficiency of the network isenhanced; and the robustness of the network is enhanced. The heterogeneous image matching method can be applied to fields of heterogeneous image registration, image tracking, multi-view reconstructionand the like.