Thematic information extraction and background parameters analysis in remote sensing classification

摘要

This paper mainly explains two methods about how to improve the accuracy of remote sensing classification. The first method is composite hierarchical classification with multiple information sources, assisted by GIS and based on statistical interpretation. The other one is analysis on background parameters. The experiment shows that they not only improve the methods of the conventional remote sensing classification, but also raise its accuracy.