DocumentCode :
3008982
Title :
Research of Vegetation Types Sequential Hierarchical Classification Method of ETM Remote Sensing Images - A Case in Xinjiang Tarim River Basin
Author :
Zhou, X.H.
Author_Institution :
State Key Lab. of Continental Dynamics, Northwest Univ., Xi´´an, China
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Using Sequential Hierarchical Classification Method to extract vegetation types information, analyzing land cover types and combinations of each remote sensing image band, dividing the ground objects into different layers, choosing different objects feature parameters and classification methods to extract information on each layer, overlapping all the image layers will obtain the final classification map.
Keywords :
geophysical image processing; image classification; remote sensing; vegetation mapping; ETM remote sensing; Sequential Hierarchical Classification Method; Xinjiang Tarim River Basin; ground object; land cover type; vegetation type; Classification tree analysis; Data mining; Feature extraction; Pixel; Remote sensing; Rivers; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
Type :
conf
DOI :
10.1109/ICMULT.2010.5631359
Filename :
5631359
Link To Document :
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