Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network.

Finding putative correspondences between a pair of images is an important prerequisite for image registration. In complex cases such as multimodal registration, a true match could be less plausible than a false match within a search zone. Under these conditions, it is important to detect all plausible matches.