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Remote Sensing Technology and Application  2013, Vol. 28 Issue (6): 1107-1113    DOI:
    
Regional Landslide Identification base on Multi-feature Object-oriented Image Classification
Ding Hui,Zhang Maosheng,Li Lin
(Xi an Centre of Geological Survey,Xi-an 710054,China)
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Abstract  

The development of high spatial resolution satellite remote sensing data provides a new way for obtaining and updating of landslide hazard data.Loess plateau of Northwest China was chosen as the study area,this paper proposed a method of object-oriented regional landslide identification base on multi-feature,took advantage of single high spatial resolution remote sensing data,using the set and feature combination for landslides identification,experimental results show that this method is one of the effective techniques for landslides identification,which has vital significance for landslide hazard monitor,image understanding and geo-analysis.

Key words:  Landslide hazard      Object-oriented classification      Characteristic description      Set      Automatic identification;Image understanding     
Received:  05 August 2012      Published:  28 February 2014
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  TP 751.1  
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Ding Hui
Zhang Maosheng
Li Lin

Cite this article: 

Ding Hui,Zhang Maosheng,Li Lin. Regional Landslide Identification base on Multi-feature Object-oriented Image Classification. Remote Sensing Technology and Application, 2013, 28(6): 1107-1113.

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http://www.rsta.ac.cn/EN/     OR     http://www.rsta.ac.cn/EN/Y2013/V28/I6/1107

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