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《Geography and Geo-Information Science》 2008-04
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Land Use Classification of Remote Sensing Image Based on Knowledge Rules

WANG Ting,ZHOU Ting-gang,WU Zhong-fang(School of Geographical Sciences,Southwest University,Key Laboratory of Eco-environments in Three Gorges Reservoir Region(Ministry of Education),Chongqing 400715,China)  
Taking Beibei urban region as study area,and based on knowledge rules combining spectral feature,Gray Level Co-occurrence Matrices texture feature and shape feature,a classification method is presented in this paper.Firstly,the resolution fusion method is used for QuickBird PAN and multi-spectral images.Then,the spectrum feature and texture feature of the typical land-use types are analyzed,and shape index is established based on shape feature.Finally,the knowledge rules are established and applied to automatically classification of different land-use types,associated with an accuracy assessment.The classified results show that this method eliminates the deficiency of using spectral information only,and reaches high classification accuracy.
【Fund】: 重庆市自然科学基金(2005BB7103);; 三峡库区生态环境教育部重点实验室自由探索基金;; 西南大学自然地理学博士学科基金
【CateGory Index】: F301
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