Thematic information extraction and background parameters analysis in remote sensing classification

Xin Wei; Yuliang Qiao; Shangmin Zhao

doi:10.1117/12.813203

7 November 2008 Thematic information extraction and background parameters analysis in remote sensing classification

Xin Wei, Yuliang Qiao, Shangmin Zhao

Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 714703 (2008) https://doi.org/10.1117/12.813203
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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.

Citation Download Citation

Xin Wei, Yuliang Qiao, and Shangmin Zhao "Thematic information extraction and background parameters analysis in remote sensing classification", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 714703 (7 November 2008); https://doi.org/10.1117/12.813203

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