DocumentCode
2409235
Title
The Decision Tree Algorithm of Automatically Extracting Residential Information from TM Image
Author
Xiong, Jun-nan ; Liu, Shan
fYear
2011
fDate
21-23 Oct. 2011
Firstpage
75
Lastpage
78
Abstract
In this paper, taking Shaoxing city as a case study area, the extraction of residential information from TM images is discussed. Firstly, the characteristics of different ground object in this area are discussed, secondly, spectral characteristics of residential area and other land-use types on TM image are analyzed to find the possibility of extracting residential area from the back ground objects according to spectral characteristic. Thirdly, a decision tree model is created on the basis of spectral characteristics analysis, use TM3, TM4 and TM5 to extract residential area, bare land and road, and then according to the characteristic of TM1
Keywords
Cities and towns; Data mining; Decision trees; Feature extraction; Remote sensing; Roads; Tiles; TM images; automatically extraction; decision tree algorithm; residential information;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2011 International Conference on
Conference_Location
Chengdu, China
Print_ISBN
978-1-4577-1540-2
Type
conf
DOI
10.1109/ICCIS.2011.286
Filename
6086137
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