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

Author

Xi Wu-jun ; Wang Jin-Liang ; Yang Bing-feng ; Yang Wang-zhou

Author_Institution

Dept. of Geogr. & Tourism Manage., Chuxiong Normal Univ., Chuxiong, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

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%.

Keywords

geophysical image processing; image classification; image fusion; image resolution; vegetation mapping; ETM+ image classification; NDVI; Shangri-La; land-cover; land-use; nonvegetation area; panchromatic band; regional classification method; spatial resolution fusion; stratified classification method; supervised classification; Data mining; Electronic mail; Gallium nitride; Geography; Image classification; Interference; MODIS; Remote sensing; Spatial resolution; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5362540

Filename

5362540