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Remote Sensing Technology and Application  2010, Vol. 25 Issue (5): 653-661    DOI: 10.11873/j.issn.1004-0323.2010.5.653
article     
A Comparative Study on Object-based Land Cover Classification in High Spatial Resolution Remote Sensing Imagery of Urban Areas
QIU Jiang-xiao1,2,WANG Xiao-ke1
(1.State Key Laboratory of Urban and Regional Ecology,Research Center for
Eco-environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China;
2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China)
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Abstract  

We present a comparative study of two object\|oriented land cover classification schemes based on high spatial resolution imagery in Beijing urban areas.Results indicate that optimized classification scheme produces a more enhanced accuracy than the generalized one.However,further comprehensive comparison reveals that the generalized scheme is more efficient and its classification rules can be easier to transport to additional areas of the same imagery and to other imageries of the same quality.In addition,land cover classification derived from generalized scheme is more systematic and robust.Hence,we conclude that if absolute accuracy is the desired goal for classification,optimized scheme is recommended; yet if the transportability and consistency are preferred,generalized scheme is more satisfactory,which also has important implications for timely and accurately land cover mapping,quantitative monitoring and assessing ecological consequences of urbanization and effective urban land planning and management.

Key words:   Land cover classification      High spatial resolution remote sensing image      Object\      oriented      Optimized classification scheme      Generalized classification scheme     
Received:  02 March 2010      Published:  30 October 2013
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QIU Jiang-Xiao
WANG Xiao-Ke

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QIU Jiang-Xiao, WANG Xiao-Ke. A Comparative Study on Object-based Land Cover Classification in High Spatial Resolution Remote Sensing Imagery of Urban Areas. Remote Sensing Technology and Application, 2010, 25(5): 653-661.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2010.5.653     OR     http://www.rsta.ac.cn/EN/Y2010/V25/I5/653

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