期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 38, 期 4, 页码 3647-3652出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2010.09.019
关键词
Knowledge rule; Classification; Remote sensing image; Texture feature; Shape feature; Land cover
类别
资金
- National Natural Science Foundation of China [40771161]
- National Science and Technology Planning of the 11th Five-year Plan Task [2006BAJ05A03]
This paper deals with the limitations of visual interpretation of high-resolution remote sensing images and of automatic computer classification completely dependent on spectral data. A knowledge-rule method is proposed, based on spectral features, texture features obtained from the gray-level co-occurrence matrix, and shape features. QuickBird remote sensing data were used for an experimental study of land-use classification in the combination zone between urban and suburban areas in Beijing. The results show that the deficiencies of methods where only spectral data are used for classification can be eliminated, the problem of similar spectra in multispectral images can be effectively solved for the classification of ground objects, and relatively high classification accuracy can be reached. (C) 2010 Elsevier Ltd. All rights reserved.
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