国土资源遥感2013，Vol.25Issue(1)：66-70,5.DOI:10.6046/gtzyyg.2013.01.12
基于TM图像的城市不透水面信息提取
Extraction of urban impervious surface information from TM image
摘要
Abstract
Based on analyzing the theory of the Optimum Band Combination, Principal Component Analysis (PCA) and NDISI, this paper presents an improved method, i. e. , "experimental layer stack", to extract impervious surface of Taiyuan city, Shanxi Province, from Landsat TM image. Both unsupervised and supervised classification methods were used to classify the original multi - band image, PCA image, NDISI and experimental band combination images. The accuracies of the classification were assessed using 256 sampling points randomly selected from Google Earth high resolution image of Taiyuan. By comparison and analysis, the authors found that the experimental B combination method obtained the highest overall accuracy of 87.72% with the Kappa coefficient of 0.85.关键词
遥感/不透水面/主成分分析/NDISI/监督分类/分类评价Key words
RS/ impervious surface/ PCA/ NDISI/ supervised classification/ accuracy assessment分类
信息技术与安全科学引用本文复制引用
李玮娜,杨建生,李晓,张记龙,李世伟..基于TM图像的城市不透水面信息提取[J].国土资源遥感,2013,25(1):66-70,5.基金项目
山西省国际科技合作项目"大气污染气体实时光谱遥测技术研究"(编号:2010081038)、国际科技合作项目以及2012山西省科技基础条件平台建设"地理信息遥感专业技术创新平台"(编号:2012091014)项目共同资助. （编号:2010081038）
