Translator Disclaimer
Paper
7 November 2008 Thematic information extraction and background parameters analysis in remote sensing classification
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
9 PAGES


SHARE
Advertisement
Advertisement
Back to Top