Cloud and shade are the major factors that influence the identification and usability of remote sensing images. Since it is difficult to eliminate the impact by using traditional method of radiometric rectification, there invented many new methods of removing the cloud and shade. However, there are still many problems in the aspects of quality and practicability. As known that the removing should be done on the premise of quantitatively determining the cloud and shade, this paper developed a new LSMA based on dynamic selection of end-member by analyzing the diversities among the reflectance of...
