Study on the Background Parameter Quantization Method of Remote Sensing Data Processing

In the remote sensing data processing the key in extracting thematic information is to compartmentalize the background and the anomaly. Anciently we use the singleness threshold parameter to extract the anomaly information in the same area. Actually different landscape area have different thematic information background, namely it have background spatial differentiation characteristic. So when we extracting the thematic information we must consider exist of the geography and the geological setting, use corresponding disposal means and quantization parameter in different setting subarea. By investigate the alteration information of this research area in this thesis, we compartmentalized the geography and geological setting using vegetation index and geological lithology as a mostly gene, simultaneity base it we can build a corresponding classify index parameter to extract the anomaly information and get a very good effect.