基于夜间灯光数据的长沙市城市建成区提取结果对比分析  

Comprehensive Analysis of the Urban Build-up Area Extraction Based on Night Light Data in Changsha

作　　者：王敏[1] 李景保[1] 梁莉莉 黄钦 龚熊波 WANG Min;LI Jing-bao;LIANG Li-li;HUANG Qin;GONG Xiong-bo(College of Geographic Science,Hunan Key Laboratory of Geospatial Big Data Mining and Application, Hunan Normal University, Changsha 410081, China)

机构地区：[1]湖南师范大学地理科学学院,地理空间大数据挖掘与应用湖南省重点实验室,中国长沙410081

出　　处：《湖南师范大学自然科学学报》2021年第4期45-52,共8页Journal of Natural Science of Hunan Normal University

基　　金：国家自然科学基金资助项目(41171342,41071067);湖南省教育厅重点项目(17A127)。

摘　　要：为了提高基于夜间灯光影像的城市建成区提取精度,本研究以长沙市为例,在两种灯光校正方法纠正的DMSP/OLS夜间灯光影像基础上构建灯光修正指数,选用突变检测法探测城市提取的最佳阈值,并利用该阈值对2010年长沙市城市建成区进行提取。最后,根据2010年长沙市土地利用数据以及Google Earth影像,选用混淆矩阵与空间位置比对法,对比分析基于两种灯光校正方法下的夜光数据以及以此为载体构建的灯光修正指数在城市建成区提取上的精度差异。结果表明,灯光修正指数在提取城市建成区范围时表现突出,且以辐射定标产品为参考数据校正的夜间灯光影像以及在此基础上构建的灯光修正指数EANI在提取城市建成区时精度更高。In order to improve the accuracy of urban land extraction based on night light image,this study takes Changsha city as an example.Based on two kinds of light correction methods to correct the night light,we construct a light correction index.The mutation detection method was applied to detect the optimal threshold of city extraction.The threshold is used to extract urban build-up area of Changsha in 2010.According to the Land-use data of Changsha city in 2010 and Google Earth image,the accuracy of the built-up area of Changsha was verified by using confusion matrix and spatial position comparison.The comprehensive analysis of the accuracy difference of the light correction index was followed based on the light correction method in city extraction.Our results show that the light correction index performs well in extracting the urban area.The night-time light image corrected by the radiation calibration and the light correction index constructed on this basis have better accuracy in extracting urban areas.

关 键 词：夜间灯光 灯光修正指数 城市建成区 DMSP/OLS 辐射定标产品 

分 类 号：TU984[建筑科学—城市规划与设计]