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基于高分辨率遥感影像的城市建筑密度和容积率提取方法研究
引用本文:李锦业,张磊,吴炳方,马新辉.基于高分辨率遥感影像的城市建筑密度和容积率提取方法研究[J].遥感技术与应用,2007,22(3):309-313.
作者姓名:李锦业  张磊  吴炳方  马新辉
作者单位:(中国科学院遥感应用研究所,北京 100101)
基金项目:国家高技术研究发展计划(863计划)
摘    要:尝试利用QuickBird高分辨率卫星影像上的阴影来提取建筑物高度信息,并将其应用于计算城市建筑密度和容积率的领域中,探索一种快速、有效的估算建筑密度和容积率的方法。以重庆市渝中区为例,计算该区域的建筑密度和容积率。通过对该区建筑密度和容积率计算结果的对比,发现城市规划格局受经济影响非常大,渝中区的总体规律是:经济水平高、容积率高、建筑密度小,反之亦然。这一结果可以为研究区域的规划、土地利用提供参考信息。最后本文以楼层数为单位进行实地抽样验证,计算结果的准确率达到88.3%。表明高分辨率遥感影像在获取城市建筑密度和容积率方面有巨大的潜力。

关 键 词:QuickBird影像  阴影  建筑密度  容积率  
文章编号:1004-0323(2007)03-0309-05
收稿时间:2006-10-24
修稿时间:2006-10-242007-03-29

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.Study on Extracting Building Density and Floor Area Ratio Based on High Resolution Image[J].Remote Sensing Technology and Application,2007,22(3):309-313.
Authors:LI Jin-ye  ZHANG Lei  WU Bing-fang  MA Xin-hui
Affiliation:(Chinese Academy of Sciences,Institute of Remote Sensing Applications,Beijing100101,China)
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.
Keywords:QuickBird image  Shadows  Building density  Floor area ratio
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