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Remote Sensing Technology and Application  2007, Vol. 22 Issue (3): 309-313    DOI: 10.11873/j.issn.1004-0323.2007.3.309
    
Study on Extracting Building Density and Floor Area Ratio Based on High Resolution Image
LI Jin-ye, ZHANG Lei, WU Bing-fang, MA Xin-hui
(Chinese Academy of Sciences,Institute of Remote Sensing Applications,Beijing100101,China)
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Abstract  

Based on the analysis of the relationship between building-height and shadow-width in the high resolution satellite image-QuickBird, the paper applies the result of extracting building heights from shadow in image to the field of estimating FAR, and realizes estimating building density and FAR fast and efficaciously. Taking YuZhong District, ChongQing city for instance, by comparative analyzing the building density and FAR of the district, it can be found that the urban layout is profoundly affected by economy. The general laws are with the growing of economy, FAR improves, while the building density falls. The validating result shows that the accuracy of estimating floor-number has reached 88.3%, which has demonstrated prospecting applications of satellite remote sensing for urban purpose.

Key words:  QuickBird image      Shadows      Building density      Floor area ratio     
Received:  24 October 2006      Published:  25 November 2011
TP 75:TU 856  
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Cite this article: 

LI Jin-ye, ZHANG Lei, WU Bing-fang, MA Xin-hui. Study on Extracting Building Density and Floor Area Ratio Based on High Resolution Image. Remote Sensing Technology and Application, 2007, 22(3): 309-313.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2007.3.309     OR     http://www.rsta.ac.cn/EN/Y2007/V22/I3/309

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