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Proceedings Paper

Thematic information extraction and background parameters analysis in remote sensing classification
Author(s): Xin Wei; Yuliang Qiao; Shangmin Zhao
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Paper Abstract

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.

Paper Details

Date Published: 7 November 2008
PDF: 9 pages
Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 714703 (7 November 2008); doi: 10.1117/12.813203
Show Author Affiliations
Xin Wei, Shanxi Agricultural Remote Sensing Application Institute (China)
Yuliang Qiao, Taiyuan Univ. of Technology (China)
Shangmin Zhao, Xinjiang Institute of Ecology and Geography (China)


Published in SPIE Proceedings Vol. 7147:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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