Thematic information extraction and background parameters analysis in remote sensing classification
文献类型:会议论文
作者 | Wei ; Xin1 ; Qiao ; Yuliang2 ; Zhao ; Shangmin3 |
出版日期 | 2008 |
会议名称 | Proceedings of SPIE - The International Society for Optical Engineering, 2008, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images |
会议日期 | 2008 |
会议地点 | Guangzhou, China |
关键词 | Remote sensing - Geographic information systems - Image reconstruction - Background parameters - Hierarchical classifications - Information sources - Parameters analysis - Remote sensing classification - Statistical interpretations - Thematic information |
中文摘要 | 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. © 2008 SPIE. (10 refs.) |
收录类别 | EI |
会议录 | Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images
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ISSN号 | 0277-786X |
源URL | [http://ir.xjlas.org/handle/365004/10780] ![]() |
专题 | 新疆生态与地理研究所_中国科学院新疆生态与地理研究所(2010年以前数据) |
推荐引用方式 GB/T 7714 | Wei,Xin1,Qiao,et al. Thematic information extraction and background parameters analysis in remote sensing classification[C]. 见:Proceedings of SPIE - The International Society for Optical Engineering, 2008, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images. Guangzhou, China. 2008. |
入库方式: OAI收割
来源:新疆生态与地理研究所
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