A New Method for Multi-Spectral and SAR Remote Sensing Image Registration
一种多光谱和SAR遥感图象的配准方法

Considering the shortcomings of low accuracies in manual selecting registration control points (RCP) and difficulties in extrcting regions and edges because of SAR speckle noise in the registration for multi spectrum and SAR remote sensing images, a new registration method for multi spectrum and SAR images is presented in this paper. With the images of Landsat TM and JERS 1 SAR, this method extracts the RCP from the correlation of the binary classified images, and the RCP accuracies are improved with surface spline interpolation. Because the texture characters of SAR speckle noise are employed in SAR image classification, the speckel noise is no longer obstacles in the registration, and all these efforts make the registration errors of experiment images lower than a pixel.