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遥感技术与应用  2011, Vol. 26 Issue (2): 169-176    DOI: 10.11873/j.issn.1004-0323.2011.2.169
研究与应用     
基于夜间灯光数据的城市建成区提取方法评价与应用
舒松1,余柏蒗1,吴健平1,刘红星2
(1.华东师范大学地理信息科学教育部重点实验室,上海200062;
2.美国辛辛那提大学地理系,俄亥俄州,辛辛那提,美国45221)
Methods for Deriving Urban Built-up Area Using Night-light Data:Assessment and Application
SHU Song1,YU Bai-lang1,WU Jian-ping1,LIU Hong-xing2
(1.Key Laboratory of Geographic Information Science,Ministry of Education,Shanghai 200062,China;
2.Department of Geography,University of Cincinnati,Cincinnati 45221,USA)
 全文: PDF(4484 KB)  
摘要:

DMSP/OLS夜间灯光数据已被广泛应用于城市建成区的提取。目前主要存在4类提取方法:经验阈值法、突变检测法、统计数据法和较高分辨率影像数据空间比较法。以上海为例,在2000年、2003年、2006年夜间灯光数据的基础上,利用4种方法完成了城市建成区的提取。通过对不同年份数据提取结果的比较,证明了相同的灰度分割阈值对不同年份的夜间灯光数据中不存在通用性;在对2003年夜间灯光数据的提取中,4类方法所得结果精确度从高到低依次为统计数据法、突变检测法、经验阈值法和较高分辨率影像数据空间比较法,相对误差分别为1.3%、2.1%、5.1%和11.2%,在对4种方法的便捷性和可实现性进行分析与评价后,使用突变检测法完成了上海市2000~2006年城市建成区的提取。

关键词: 夜间灯光数据DMSP/OLS城市建成区阈值分割上海    
Abstract:

Night\|light data from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) has been widely utilized to derive the urban built\|up areas.Four major methods,including Empirical Thresholding,Sudden Change Detection,Statistics\|assisted Thresholding,and TM\|assisted Thresholding,have been proposed to determine the threshold value for separating the illuminated urban areas from the dark background of rural areas in DMSP/OLS night\|light images.This paper makes a comprehensive assessment of those methods through a case study of Shanghai,China.The methods are implemented to extract the urban built\|up area for Shanghai using DMSP/OLS stable light data acquired in 2003.Then,the same threshold values obtained from 2003 DMSP/OLS night\|light data are applied respectively to the 2000 and 2006 DMSP/OLS data,resulting in a significant error in urban built\|up area detection.This analysis result suggests that the threshold value determined for a specific year cannot be extended and transferred to other years.The failure in temporal extensibility of threshold value means that an appropriate threshold value has to be determined for every year when a time series of DMSP/OLS nigh\|light data need to be processed.Therefore,the method that determines threshold value independent of reference data is more suitable for processing time series DMSP/OLS data.The Sudden Change Detection method does not require ancillary reference data and is the best choice of those methods considering the convenience,accuracy,and automated data processing,and it is then adopted to derive the urban built\|up areas of Shanghai from 2000 to 2006.

Key words: Night-light data    MSP/OLS    Urban built-up area    Threshold segmentation    Shanghai
收稿日期: 2010-10-09 出版日期: 2011-07-25
:  TP 79  
基金资助:

国家973计划项目(2010CB951603),中央高校基本科研业务费专项基金。

通讯作者: 余柏蒗(1979-),男,四川宜宾人,博士,讲师,主要从事GIS与遥感研究。Email:blyu@geo.ecnu.edu.cn。     E-mail: ssshusong@gmail.com
作者简介: 舒松(1987-),男,四川广安人,硕士研究生,主要从事GIS与遥感研究。Email:ssshusong@gmail.com。
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引用本文:

舒松,余柏蒗 ,吴健平,刘红星. 基于夜间灯光数据的城市建成区提取方法评价与应用[J]. 遥感技术与应用, 2011, 26(2): 169-176.

SHU Song,YU Bai-lang,WU Jian-ping,LIU Hong-xing. Methods for Deriving Urban Built-up Area Using Night-light Data:Assessment and Application. Remote Sensing Technology and Application, 2011, 26(2): 169-176.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2011.2.169        http://www.rsta.ac.cn/CN/Y2011/V26/I2/169

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