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基于TM图像的“增强的指数型建筑用地指数”研究
引用本文:吴志杰,赵书河.基于TM图像的“增强的指数型建筑用地指数”研究[J].国土资源遥感,2012(2):50-55.
作者姓名:吴志杰  赵书河
作者单位:1. 龙岩学院资源工程系,龙岩364012;福州大学环境与资源学院,福州350108
2. 南京大学地理与海洋科学学院,南京,210093
基金项目:国家科技支撑计划项目子课题
摘    要:以Landsat TM/ETM+图像为数据源,研究城镇和农村建筑用地信息的提取方法.首先利用TM7,4,2波段创建归一化差值裸地与建筑用地指数(normalized difference bareness and built- up index,NDBBI);然后根据裸地在裸土指数(bare doil index,BSI)图像上的亮度值最高、在改进型归一化差值水体指数(modified normalized difference water index,MNDWI)图像的亮度值最低的特征,提出了增强型裸土指数(enhanced baresoilindex,EBSI);最后选用NDBBI,EBSI,MNDWI和SAVI( soil adjustment vegetation index,SAVI)4个指数,构建一种新型的建筑用地指数,称为“增强的指数型建筑用地指数”( enhanced index - based built - up index,EIBI),可快速地提取建筑用地信息.实验结果表明,用EIBI提取的建筑用地信息客观,人为干预少,可信度高,提取精度可达90%以上,适合于同时提取城市和农村建筑用地信息.

关 键 词:遥感  Landsat  TM  增强的指数型建筑用地指数(EIBI)  归一化差值建筑用地指数(NDBI)  裸土指数(  BSI)

A Study of Enhanced Index - based Built - up Index Based on Landsat TM Imagery
WU Zhi-jie , ZHAO Shu-he.A Study of Enhanced Index - based Built - up Index Based on Landsat TM Imagery[J].Remote Sensing for Land & Resources,2012(2):50-55.
Authors:WU Zhi-jie  ZHAO Shu-he
Institution:1.Department of Resources Engineering,Longyan University,Longyan 364012,China; 2.College of Environment and Resources,Fuzhou University,Fuzhou 350108,China; 3.School of Geographic & Oceanographic Sciences,Nanjing University,Nanjing 210093,China)
Abstract:A new method for extraction of built-up land information both in suburban area and in urban district by using Landsat TM/ETM+ imagery is proposed in this paper.Firstly,to suppress the information of bare soil with the middle-infrared(TM7),near-infrared(TM4) and green band(TM2),it is necessary to build a secondary index,which is called normalized difference bareness and built-up index(NDBBI).At the same time,to enhance the information of bare soil from existing indices of bare soil index(BSI)and modified normalized difference water index(MNDWI),another secondary index is built,which is called enhanced bare soil index(EBSI).Finally,the indices of NDBBI,EBSI,SAVI and MNDWI are applied to constructing a new index for delineating built-up land features in satellite imagery,which is called enhanced index-based built-up index(EIBI).The new index(EIBI)can be employed to extract the built-up land information both in suburban area and in urban district.This approach has been successful in Fuzhou and Zhangzhou experimental regions.Built-up features can be extracted objectively and sufficiently with the accuracy above 90%.
Keywords:remote sensing  Landsat TM  enhanced index-based built-up index(EIBI)  normalized difference built-up index(NDBI)  bare soil index(BSI)
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