刘辉. 基于改进阴影指数的福州市主城区建筑容积率提取[J]. 武汉大学学报 ( 信息科学版), 2014, 39(10): 1241-1247.
引用本文: 刘辉. 基于改进阴影指数的福州市主城区建筑容积率提取[J]. 武汉大学学报 ( 信息科学版), 2014, 39(10): 1241-1247.
LIU Hui. Extraction of  the Floor Area Ratio in  the Central District  of  Fuzhou Cit y Based on an Improved Shadow Index Model[J]. Geomatics and Information Science of Wuhan University, 2014, 39(10): 1241-1247.
Citation: LIU Hui. Extraction of  the Floor Area Ratio in  the Central District  of  Fuzhou Cit y Based on an Improved Shadow Index Model[J]. Geomatics and Information Science of Wuhan University, 2014, 39(10): 1241-1247.

基于改进阴影指数的福州市主城区建筑容积率提取

Extraction of  the Floor Area Ratio in  the Central District  of  Fuzhou Cit y Based on an Improved Shadow Index Model

  • 摘要: 针对城市建筑物阴影检测提取容积率的过程复杂检测不稳定等缺陷引入PCA方法与HSI模型予以解决 通过对高分辨率遥感影像阴影区域信息的区分与提取得到建筑物阴影区域从而拟合计算街区建筑容积率 选取福州市主城区作为研究区域采用上述方法进行建筑物阴影与容积率提取并进行对比验证结果表明由PCA和HSI模型得到的改进阴影指数SI在容积率提取上的精度更高应用更可靠

     

    Abstract: This paper  presents  a new method that  combines PCA with HSI to differentiate  and extractconstruction shadows  from hi gh resolution  remote  sensing images  and then calculates  each block  floorarea  ratio by using re gression  anal ysis.The  proposed method reduces  the  complexit y and  instabilit y when extracting floor  area  ratios  using the  traditional  method.Taking downtown Fuzhou as  an example we extracted  the  construction shadow and floor  area  ratio by the new methodto  compare  andvalidate  it  against  the  traditional  method.The results  show that  the  shadow index  from the new method  is more reliable  and precise  than  results  obtained from the  traditional  approach

     

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