Study of Multispectral Detecting Shadow Areas and A Theoretical Model of Removing Shadows from Remote Sensing Images

摘要

Shadow is one of the basic characteristics of remote sensing images, which will make information of objects lost or interfered. Detecting shadow areas and eliminating shadows are the two important contents in removing shadows of remote sensing images. In this study, we proposed a method of multispectral detecting shadow areas and a theoretical model of removing shadows based on energy information compensation in remote sensing images. Finally, the method and the model were validated using the IKONOS images, and the results were turn up trumps.