一种提取城市多种不透水层的垂直不透水层指数
|
摘要
针对中低分辨率影像中不透水层的异质性及其与裸土光谱的易混性两类问题,选用蓝、近红外波段进行线性组合,构建了一种新的不透水层提取指数——垂直不透水层指数(PII)。该指数考虑了不透水层和其他地物在光谱空间的差异与不透水层的内部异质性,并以"不透水层线"与"土壤线"夹角的角平分线作为PII的参照线,实现了自适应的不透水层提取。本文将PII指数应用于武汉和北京不同场景中,并对比归一化建筑物指数(NDBI)、比值居民地指数(RRI)以及生物物理组份指数(BCI)的提取结果。试验表明:1在裸土较少、地形平坦的武汉市区域和裸土较多、地形起伏的北京市区域,PII指数均能有效减弱裸土的混淆影响,不透水层提取精度分别达到96.05%和96.76%,优于其他3种指数;2PII指数不仅增强了不透水层与其他地物的可区分性,还保持了不透水层类内的相似性,在城市不同场景中的不透水层提取精度均能达到90%以上。由于PII指数是一种线性组合形式的指数,能够根据研究区的地物光谱自适应调整指数的方程系数,从而能适用于不同研究区,在裸地较多的地区优势尤为明显。
Focusing on the issues of impervious layers' heterogeneity and confusion with soil,a method is presented—perpendicular impervious index(PII),which considers blue and near infrared bands selected based on spectral characteristics of ground objects in LandSat-8images.The PII is established in a linear form,and its reference line is calculated based on the angle bisector of impervious layer line and soil line.Impervious surfaces are extracted using PII on LandSat-8images of Beijing and Wuhan,which is compared with the normalized difference building index(NDBI),ratio resident-area index(RRI)and biophysical composition index(BCI)in the same areas.The conclusions are as follow:1 PII is superior than other indexes in separating impervious layers from bare soil in both the Wuhan and Beijing,the extracting accuracy is 96.05%and 96.76%,respectively;2PII is also effective in different environments,where the impervious layer shows various spectrums.Due to the linear combination form,PII can adjust its coefficients depending on spectra of ground objects in different study areas,which gets higher accuracy in extracting impervious layers than other indexes,especially in regions containing more bare soil.
Focusing on the issues of impervious layers' heterogeneity and confusion with soil,a method is presented—perpendicular impervious index(PII),which considers blue and near infrared bands selected based on spectral characteristics of ground objects in LandSat-8images.The PII is established in a linear form,and its reference line is calculated based on the angle bisector of impervious layer line and soil line.Impervious surfaces are extracted using PII on LandSat-8images of Beijing and Wuhan,which is compared with the normalized difference building index(NDBI),ratio resident-area index(RRI)and biophysical composition index(BCI)in the same areas.The conclusions are as follow:1 PII is superior than other indexes in separating impervious layers from bare soil in both the Wuhan and Beijing,the extracting accuracy is 96.05%and 96.76%,respectively;2PII is also effective in different environments,where the impervious layer shows various spectrums.Due to the linear combination form,PII can adjust its coefficients depending on spectra of ground objects in different study areas,which gets higher accuracy in extracting impervious layers than other indexes,especially in regions containing more bare soil.
引文
[1]ZHANG Zengxiang,WANG Xiao,ZHAO Xiaoli,et al.A2010 Update of National Land Use/Cover Database of China at 1∶100 000Scale Using Medium Spatial Resolution Satellite Images[J].Remote Sensing of Environment,2014,149:142-154.
[2]ZHOU Decheng,ZHAO Shuqing,LIU Shugang,et al.Surface Urban Heat Island in China's 32 Major Cities:Spatial Patterns and Drivers[J].Remote Sensing of Environment,2014,152:51-61.
[3]WENG Qihao.Remote Sensing of Impervious Surfaces in the Urban Areas:Requirements,Methods,and Trends[J].Remote Sensing of Environment,2012,117:34-49.
[4]MASEK J G,LINDSAY F E,GOWARD S N.Dynamics of Urban Growth in the Washington DC Metropolitan Area,1973—1996,from Landsat Observations[J].International Journal of Remote Sensing,2000,21(18):3473-3486.
[5]DENG Chengbin,WU Changshan.A Spatially Adaptive Spectral Mixture Analysis for Mapping Subpixel Urban Impervious Surface Distribution[J].Remote Sensing of Environment,2013,133:62-70.
[6]WU Changshan,MURRAY A T.Estimating Impervious Surface Distribution by Spectral Mixture Analysis[J].Remote Sensing of Environment,2003,84(4):493-505.
[7]SMALL C,LU J W T.Estimation and Vicarious Validation of Urban Vegetation Abundance by Spectral Mixture Analysis[J].Remote Sensing of Environment,2006,100(4):441-456.
[8]ZHA Y,GAO J,NI S.Use of Normalized Difference Built-up Index in Automatically Mapping Urban Areas from TM Imagery[J].International Journal of Remote Sensing,2003,24(3):583-594.
[9]DENG Chengbin,WU Changshan.BCI:A Biophysical Composition Index for Remote Sensing of Urban Environments[J].Remote Sensing of Environment,2012,127:247-259.
[10]徐涵秋.一种快速提取不透水面的新型遥感指数[J].武汉大学学报(信息科学版),2008,33(11):1150-1153.XU Hanqiu.A New Remote Sensing Index for Fastly Extracting Impervious Surface Information[J].Geomatics and Information Science of Wuhan University,2008,33(11):1150-1153.
[11]胡荣明,黄小兵,黄远程.增强形态学建筑物指数应用于高分辨率遥感影像中建筑物提取[J].测绘学报,2014,43(5):514-520.HU Rongming,HUANG Xiaobing,HUANG Yuancheng.An Enhanced Morphological Building Index for Building Extraction from High-resolution Images[J].Acta Geodaetica et Cartographica Sinica,2014,43(5):514-520.
[12]徐涵秋,杜丽萍.遥感建筑用地信息的快速提取[J].地球信息科学学报,2010,12(4):574-579.XU Hanqiu,DU Liping.Fast Extraction of Built-up Land Information from Remote Sensing Imagery[J].Journal of Geo-information Science,2010,12(4):574-579.
[13]HE Chunyang,SHI Peijun,XIE Dingyong,et al.Improving the Normalized Difference Built-up Index to Map Urban Built-up Areas Using a Semiautomatic Segmentation Approach[J].Remote Sensing Letters,2010,1(4):213-221.
[14]BHATTI S S,TRIPATHI N K.Built-up Area Extraction Using Landsat-8 OLI Imagery[J].GIScience&Remote Sensing,2014,51(4):445-467.
[15]吴宏安,蒋建军,张海龙,等.比值居民地指数在城镇信息提取中的应用[J].南京师大学报(自然科学版),2006,29(3):118-121.WU Hong’an,JIANG Jianjun,ZHANG Hailong,et al.Application of Ratio Resident-area Index to Retrieve Urban Residential Areas Based on Landsat TM Data[J].Journal of Nanjing Normal University(Natural Science),2006,29(3):118-121.
[16]HORNE J H.A Tasseled Cap Transformation for IKONOS Images[C]∥ASPRS Annual Conference Proceedings.Alaska:[s.n.],2003.
[17]徐涵秋.城市不透水面与相关城市生态要素关系的定量分析[J].生态学报,2009,29(5):2456-2462.XU Hanqiu.Quantitative Analysis on the Relationship of Urban Impervious Surface with other Components of the Urban Ecosystem[J].Acta Ecologica Sinica,2009,29(5):2456-2462.
[18]ZHANG Xiuyuan,DU Shihong.A Linear Dirichlet Mixture Model for Decomposing Scenes:Application to Analyzing Urban Functional Zonings[J].Remote Sensing of Environment,2015,169:37-49.
[19]吴炜,骆剑承,沈占锋,等.光谱和形状特征相结合的高分辨率遥感图像的建筑物提取方法[J].武汉大学学报(信息科学版),2012,37(7):800-805.WU Wei,LUO Jiancheng,SHEN Zhanfeng,et al.Building Extraction from High Resolution Remote Sensing Imagery Based on Spatial-Spectral Method[J].Geomatics and Information Science of Wuhan University,2012,37(7):800-805.
[20]谭衢霖.高分辨率多光谱影像城区建筑物提取研究[J].测绘学报,2010,39(6):618-623.TAN Qulin.Urban Building Extraction from VHR Multispectral Images Using Object-based Classification[J].Acta Geodaetica et Cartographica Sinica,2010,39(6):618-623.
[21]FELDE G W,ANDERSON G P,COOLEY T W,et al.Analysis of Hyperion Data with the FLAASH Atmospheric Correction Algorithm[C]∥Proceedings of 2003IEEE International Geoscience and Remote Sensing Symposium.Toulouse,France:IEEE,2003:90-92.
[22]匡文慧,张树文,张养贞.基于遥感影像的长春城市用地建筑面积估算[J].重庆建筑大学学报,2007,29(1):18-21.KUANG Wenhui,ZHANG Shuwen,ZHANG Yangzhen.Research on Estimating Urban Land Use Floor Area in Changchun Based on High-resolution Satellite Images[J].Journal of Chongqing Jianzhu University,2007,29(1):18-21.
[23]徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报,2005,9(5):589-595.XU Hanqiu.A Study on Information Extraction of Water Body with the Modified Normalized Difference Water Index(MNDWI)[J].Journal of Remote Sensing,2005,9(5):589-595.
[24]JACKSON R D,HUETE A R.Interpreting Vegetation Indices[J].Preventive Veterinary Medicine,1991,11(3-4):185-200.
[25]RICHARDSON A J,WEIGAND C L.Distinguishing Vegetation from Soil Background Information[J].Photogrammetric Engineering and Remote Sensing,1977,43(12):1541-1552.
[26]HUETE A R.A Soil-adjusted Vegetation Index(SAVI)[J].Remote Sensing of Environment,1988,25(3):295-309.
[27]徐丹丹,李文龙,王迅,等.垂直植被指数的计算和精度分析[J].兰州大学学报(自然科学版),2010,46(5):102-106.XU Dandan,LI Wenlong,WANG Xun,et al.Calculation of Perpendicular Vegetation Index and Accuracy[J].Journal of Lanzhou University(Natural Sciences),2010,46(5):102-106.
[28]DARE P M.Shadow Analysis in High-resolution Satellite Imagery of Urban Areas[J].Photogrammetric Engineering&Remote Sensing,2005,71(2):169-178.
[29]HANLEY J A,MCNEIL B J.The Meaning and Use of the Area under a Receiver Operating Characteristic(ROC)Curve[J].Radiology,1982,143(1):29-36.
[2]ZHOU Decheng,ZHAO Shuqing,LIU Shugang,et al.Surface Urban Heat Island in China's 32 Major Cities:Spatial Patterns and Drivers[J].Remote Sensing of Environment,2014,152:51-61.
[3]WENG Qihao.Remote Sensing of Impervious Surfaces in the Urban Areas:Requirements,Methods,and Trends[J].Remote Sensing of Environment,2012,117:34-49.
[4]MASEK J G,LINDSAY F E,GOWARD S N.Dynamics of Urban Growth in the Washington DC Metropolitan Area,1973—1996,from Landsat Observations[J].International Journal of Remote Sensing,2000,21(18):3473-3486.
[5]DENG Chengbin,WU Changshan.A Spatially Adaptive Spectral Mixture Analysis for Mapping Subpixel Urban Impervious Surface Distribution[J].Remote Sensing of Environment,2013,133:62-70.
[6]WU Changshan,MURRAY A T.Estimating Impervious Surface Distribution by Spectral Mixture Analysis[J].Remote Sensing of Environment,2003,84(4):493-505.
[7]SMALL C,LU J W T.Estimation and Vicarious Validation of Urban Vegetation Abundance by Spectral Mixture Analysis[J].Remote Sensing of Environment,2006,100(4):441-456.
[8]ZHA Y,GAO J,NI S.Use of Normalized Difference Built-up Index in Automatically Mapping Urban Areas from TM Imagery[J].International Journal of Remote Sensing,2003,24(3):583-594.
[9]DENG Chengbin,WU Changshan.BCI:A Biophysical Composition Index for Remote Sensing of Urban Environments[J].Remote Sensing of Environment,2012,127:247-259.
[10]徐涵秋.一种快速提取不透水面的新型遥感指数[J].武汉大学学报(信息科学版),2008,33(11):1150-1153.XU Hanqiu.A New Remote Sensing Index for Fastly Extracting Impervious Surface Information[J].Geomatics and Information Science of Wuhan University,2008,33(11):1150-1153.
[11]胡荣明,黄小兵,黄远程.增强形态学建筑物指数应用于高分辨率遥感影像中建筑物提取[J].测绘学报,2014,43(5):514-520.HU Rongming,HUANG Xiaobing,HUANG Yuancheng.An Enhanced Morphological Building Index for Building Extraction from High-resolution Images[J].Acta Geodaetica et Cartographica Sinica,2014,43(5):514-520.
[12]徐涵秋,杜丽萍.遥感建筑用地信息的快速提取[J].地球信息科学学报,2010,12(4):574-579.XU Hanqiu,DU Liping.Fast Extraction of Built-up Land Information from Remote Sensing Imagery[J].Journal of Geo-information Science,2010,12(4):574-579.
[13]HE Chunyang,SHI Peijun,XIE Dingyong,et al.Improving the Normalized Difference Built-up Index to Map Urban Built-up Areas Using a Semiautomatic Segmentation Approach[J].Remote Sensing Letters,2010,1(4):213-221.
[14]BHATTI S S,TRIPATHI N K.Built-up Area Extraction Using Landsat-8 OLI Imagery[J].GIScience&Remote Sensing,2014,51(4):445-467.
[15]吴宏安,蒋建军,张海龙,等.比值居民地指数在城镇信息提取中的应用[J].南京师大学报(自然科学版),2006,29(3):118-121.WU Hong’an,JIANG Jianjun,ZHANG Hailong,et al.Application of Ratio Resident-area Index to Retrieve Urban Residential Areas Based on Landsat TM Data[J].Journal of Nanjing Normal University(Natural Science),2006,29(3):118-121.
[16]HORNE J H.A Tasseled Cap Transformation for IKONOS Images[C]∥ASPRS Annual Conference Proceedings.Alaska:[s.n.],2003.
[17]徐涵秋.城市不透水面与相关城市生态要素关系的定量分析[J].生态学报,2009,29(5):2456-2462.XU Hanqiu.Quantitative Analysis on the Relationship of Urban Impervious Surface with other Components of the Urban Ecosystem[J].Acta Ecologica Sinica,2009,29(5):2456-2462.
[18]ZHANG Xiuyuan,DU Shihong.A Linear Dirichlet Mixture Model for Decomposing Scenes:Application to Analyzing Urban Functional Zonings[J].Remote Sensing of Environment,2015,169:37-49.
[19]吴炜,骆剑承,沈占锋,等.光谱和形状特征相结合的高分辨率遥感图像的建筑物提取方法[J].武汉大学学报(信息科学版),2012,37(7):800-805.WU Wei,LUO Jiancheng,SHEN Zhanfeng,et al.Building Extraction from High Resolution Remote Sensing Imagery Based on Spatial-Spectral Method[J].Geomatics and Information Science of Wuhan University,2012,37(7):800-805.
[20]谭衢霖.高分辨率多光谱影像城区建筑物提取研究[J].测绘学报,2010,39(6):618-623.TAN Qulin.Urban Building Extraction from VHR Multispectral Images Using Object-based Classification[J].Acta Geodaetica et Cartographica Sinica,2010,39(6):618-623.
[21]FELDE G W,ANDERSON G P,COOLEY T W,et al.Analysis of Hyperion Data with the FLAASH Atmospheric Correction Algorithm[C]∥Proceedings of 2003IEEE International Geoscience and Remote Sensing Symposium.Toulouse,France:IEEE,2003:90-92.
[22]匡文慧,张树文,张养贞.基于遥感影像的长春城市用地建筑面积估算[J].重庆建筑大学学报,2007,29(1):18-21.KUANG Wenhui,ZHANG Shuwen,ZHANG Yangzhen.Research on Estimating Urban Land Use Floor Area in Changchun Based on High-resolution Satellite Images[J].Journal of Chongqing Jianzhu University,2007,29(1):18-21.
[23]徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报,2005,9(5):589-595.XU Hanqiu.A Study on Information Extraction of Water Body with the Modified Normalized Difference Water Index(MNDWI)[J].Journal of Remote Sensing,2005,9(5):589-595.
[24]JACKSON R D,HUETE A R.Interpreting Vegetation Indices[J].Preventive Veterinary Medicine,1991,11(3-4):185-200.
[25]RICHARDSON A J,WEIGAND C L.Distinguishing Vegetation from Soil Background Information[J].Photogrammetric Engineering and Remote Sensing,1977,43(12):1541-1552.
[26]HUETE A R.A Soil-adjusted Vegetation Index(SAVI)[J].Remote Sensing of Environment,1988,25(3):295-309.
[27]徐丹丹,李文龙,王迅,等.垂直植被指数的计算和精度分析[J].兰州大学学报(自然科学版),2010,46(5):102-106.XU Dandan,LI Wenlong,WANG Xun,et al.Calculation of Perpendicular Vegetation Index and Accuracy[J].Journal of Lanzhou University(Natural Sciences),2010,46(5):102-106.
[28]DARE P M.Shadow Analysis in High-resolution Satellite Imagery of Urban Areas[J].Photogrammetric Engineering&Remote Sensing,2005,71(2):169-178.
[29]HANLEY J A,MCNEIL B J.The Meaning and Use of the Area under a Receiver Operating Characteristic(ROC)Curve[J].Radiology,1982,143(1):29-36.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |