The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 29-321
Full Name: Zhang Rongqun
Position: Associate Professor
Age: ON
Sex: Male
Address: Department of Geography informantion science, College of information and Electrical Engineering, China Agricultural University, Beijing, China
Country: CHINA
Tel: +8613522231405
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E-mail address: zhangrq@cau.edu.cn
Other E-mails: ankh2004@163.com,thos_213@yahoo.cn
Title of the Paper: classification of wetland from tm imageries based on decision tree
Authors as they appear in the Paper: Yuan Hui Zhang Rongqun Li Xianwen
Email addresses of all the authors: ankh2004@163.com,zhangrq@cau.edu.cn,lixw1965@126.com
Number of paper pages: 10
Abstract: The traditional method of application of remote sensing data for land cover mapping is the use of supervised classification and unsupervised classification. Decision tree, showing great advantages in remote sensing classification, is computationally fast, makes no statistical assumptions, and can handle data that are represented on different measurement scales. Decision tree classification has been successfully applied to many classification problems, but rarely applied to mapping of wetlands. In this study, decision tree was proposed to extract wetland from Landsat 5/Thematic Mapper (TM) imageries in a wide area of Yinchuan plain. Tasseled Cap (TC) transformation was used to identity the different wetland types and normalized difference vegetation index (NDVI) was computed to distinguish paddy wetland and lake wetland. Results from this analysis show that the decision tree has an outstanding performance compared with the supervised classification in maximum likeli!
hood method. The overall accuracy of supervised classification is 64.60%, while that of decision tree classification was 83.80%. Besides, it appears that a decision tree combinations different useful knowledge is an effective and promising classification method.
Keywords: Classification methods,Decision tree,Wetland,Tasseled cap transformation,Ndvi
EXTENSION of the file: .pdf
Special (Invited) Session: extracting wetland using decision tree classification
Organizer of the Session: 613-349
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