利用监督分类快速提取分层设色图件中数据的方法

In this article, a new method is designed to extract the spatial data in hypsometric law based map quickly, based on the analysis of the map image. In this method, minimum distance supervised classification method is used, and feature class space is constructed based on the R G B component of the map image. This method solved the problem that manual operation is hard to extract such kind of data from map image in the past. We used this method to extract the water vapor concentration data in the east hemisphere, and the result is fine.