Extraction of the Floor Area Ratio in the Central District of Fuzhou Cit y Based on an Improved Shadow Index Model
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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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Keywords:
- loor ratio area /
- shadow index /
- shadow detection /
- remote sensing image
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