RS Classification Information Extraction of Landuse in Karst Area by Means of Object Oriented Approach: A Case in Bijie, Guizhou Province
详细信息
- 责任者：Li Xuedong (School of Geography and Environment Sciences ; Guizhou Normal University ; Guiyang 550000 ; China) ; Yang Guangbin
- 刊名：Carsologica Sinica
- 出版年：2013
- 卷期：32(2)
- 关键词：土地利用 ; land use ; 遥感 ; remote sensing ; 贵州 ; Guizhou Province
- 页码：p.231-237
- 图表：5 illus., 3 tables, 15 refs.
- 分类号：1600
- issnNo：ISSN1001-4810
- isbnNo：CN45-1157/P
摘要
In this paper,in order to improve the accuracy of remote sensing information extraction,the land-used information in Bijie,Guizhou Province,is extracted automatically by way of object-oriented approach.Firstly,the regional images of Landsat-5 TM is segmented multiscalely to create the image object layer.Then,remote sensing interpretation is done for karst area in light of knowledge decision tree classification and Suppot Vector Machine(SVM) classification techniques.The results show that the object-oriented classification techniques can accurately and efficiently extract land-use information in karst area,and can avoid the “salt and pepper phenomenon” meanwhile.Data verification by sampling in the field proves that the first classification accuracy of the first level is 91.7 % and the second level classification accuracy is 89.4 %,indicating the object oriented approach has a good application effect in Bijie,Guizhou Province.
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