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ETM+ Image Classification Research Based on Stratified and Regional Classification Method--Take Land-Use and Land-Cover in Shangri-La for Example

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4 Author(s)
Xi Wu-jun ; Dept. of Geogr. & Tourism Manage., Chuxiong Normal Univ., Chuxiong, China ; Wang Jin-liang ; Yang Bing-feng ; Yang Wang-zhou

Combine the stratified and regional thinking, we proposed a stratified and regional classification method that based on the spatial resolution fusion and NDVI, and utilized in the classification research of land-use and land-cover in Shangrila. The method first used ETM+453 synthesized image, fused the panchromatic band to promote the spatial resolution, calculated NDVI after the extraction of related ground objects, then divided it into vegetation area and non-vegetation area, and classified the region separately with supervised classification. The results showed that this method, compared with the conventional supervised classification, the classification accuracy enhanced 12.94%.

Published in:
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Date of Conference: 19-20 Dec. 2009

Page(s):
1 - 4
Print ISBN:
978-1-4244-4994-1
INSPEC Accession Number:
11032860
Conference Location :
Wuhan
Digital Object Identifier :
10.1109/ICIECS.2009.5362540
Product Type:
Conference Publications

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