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Remote Sensing Technology and Application  2015, Vol. 30 Issue (1): 99-105    DOI: 10.11873/j.issn.1004-0323.2015.1.0099
    
Object-oriented Classification of High-resolution Remote Sensing Image
Song Xiaoyang1,Jiang Xiaosan1,Jiang Dong2,Huang Yaohuang2,Wan Huawei3,Wang Changzuo3
(1.Resources & Environment Science Department,Nanjing Agricultural University,Nanjing 210095,China;
2.State Key Lab of Natural Resources and Environmental Security,Institute of Geographic Sciences and
Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;
3.Satellite Environment Center,Ministry of Environmental Protection,Beijing 100094,China)
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Abstract  

Remote sensing technology has become the main means to achieve the extraction of ground information.Based on high\|resolution remote sensing image,this paper adopted multi\|scale segmentation algorithm and measured the characters of object spectrum and shape to realize the object\|oriented classification method.The classification method was a combination of object\|oriented method and comprehensively analyzes the features of objects,give full paly to the advantage of the fine features classification of high\|resolution remote sensing image,so that high precision classification results were obtained.The method was tested in Nabanhe River Watershed Nature Reserve,Xishuangbanna,then the method was checked by the total accuracy of classification result reached to 88.58% and Kappa coefficient was 0.77.The method was a high\|precision and rapid classification method.

Key words:  Object-oriented      Multi-scale segmentation      Land use classification      High-resolution Remote Sensing image     
Received:  23 December 2013      Published:  11 March 2015
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Cite this article: 

. Object-oriented Classification of High-resolution Remote Sensing Image. Remote Sensing Technology and Application, 2015, 30(1): 99-105.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2015.1.0099     OR     http://www.rsta.ac.cn/EN/Y2015/V30/I1/99

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