Abstract
When a large-scale disaster occurs, there is a need to develop a system that can estimate amount of disaster waste, its distribution and contents, and to perform subsequent restoration activities quickly and effectively. We are sure that estimating disaster waste using remote sensing data is the first priority to affect all subsequent processing. However, it is necessary to develop a method for extracting detailed information buried in mixels of remote sensingdata. In this paper, we proposed a method for unmixing mixels that uses the Digital Number (DN) and texture features appeared in the THEOS data.
