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.

关键词： thematic information background parameters remote sensing classification

作者: Wei Xin Qiao Yuliang Zhao Shangmin

作者单位: Shanxi Agricultural Remote Sensing Application Institute,No.261 Fudong Street,Taiyuan,Shanxi,China 0 Taiyuan University of Technology,West District Xigao Donglou Dongdanyuan 1201,Taiyuan,Shanxi,China 0 Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences,Urumchi 830011,China

会议类型: 国际会议

会议名称: 第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-06-28（万方平台首次上网日期，不代表论文的发表时间）