Remote sensing image registration algorithm based on partial covariance matrix

Image registration is a prerequisite for accomplishing high level tasks such as image fusion, surface reconstruction, change detection, and object recognition. To achieve multisensor remote sensing image registration, a remote sensing image registration algorithm based on partial covariance matrix is presented in this paper. The partial contour covariance matrix and adaptive optimal window selection technology are introduced into the registration processing to reduce the impact of rotation factor and scale factor, which can enhance the robustness of the registration algorithm. Experiment results demonstrate the efficiency and the accuracy of the proposed algorithm for multi-sensor remote sensing image registration.