The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 28-878
Full Name: Xiaochen Zou
Position: Student
Age: ON
Sex: Male
Address: College of Information and Electrical Engineering, China Agricultural University, P.O. Box 121, Beijing, 100083, P.R. CHINA
Country: CHINA
Tel: 62737994
Tel prefix: 8610
Fax: 62737741
E-mail address: zouxiaochen0902@163.com
Other E-mails: chenyingyi@cau.edu.cn
Title of the Paper: Application of Image Texture Analysis to Improve Land Cover Classification
Authors as they appear in the Paper: Xiaochen Zou, Daoliang Li
Email addresses of all the authors: zouxiaochen0902@163.com,li_daoliang@yahoo.com
Number of paper pages: 10
Abstract: Image texture analysis has received a considerable amount of attention over the last few years as it has played an important role in the classification of the remote sensing images. This paper provides an overview of several different approaches to image texture analysis and demonstrates their use on the problem of land cover classification. We used grey level co-occurrence matrix (GLCM) method to assistant the land cover classification and then compared and evaluated all of the result of classifications. In the experimentation, by comparing the classification result of contrast, energy and entropy we find out that the preferable texture features of grey level co- occurrence matrices method was contrast. In this thesis, it used the feature images helping the classification of remote sensing and obtained good result. And it also used C++ programming language to write a programme to compute the number of the feature of texture.
Keywords: Land cover classification, Texture analysis, Grey level co-occurrence matrices method, Texture feature
EXTENSION of the file: .pdf
Special (Invited) Session: Using Image Texture Analysis to Improve Land Cover Classification
Organizer of the Session: 604-301
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