Shearlet features for registration of remotely sensed multitemporal images

We investigate the role of anisotropic feature extraction methods for automatic image registration of remotely sensed multitemporal images. Building on the classical use of wavelets in image registration, we develop an algorithm based on shearlets, a mathematical generalization of wavelets that offers increased directional sensitivity. Experimental results on multitemporal Land-sat images are presented, which indicate superior performance of the shearlet algorithm when compared to classical wavelet algorithms.