AN Kai1; ZHANG Jinshui2; XIAO Yu1
Source Publicationchinesegeographicalscience
AbstractIt is crucial to conduct the land use/cover research to obtain the global change information. Urban area is one of the most sensitive areas in land use/cover change. Therefore land use/cover change in urban areas is very important in global change. It is vital to incorporate the information of urban land use/cover change into the process of decision-making about urban area development. In this paper, a new urban change detection approach, urban dynamic monitoring based on objects, is introduced. This approach includes four steps: 1) producing multi-scale objects from multi-temporal remotely sensed images with spectrum, texture and context information; 2) extracting possible changed objects adopting object-oriented classification; 3) obtaining shared objects as the basic units for urban change detection; 4) determining the threshold to segment the changed objects from the possible changed objects using Otsu method. In this paper, the object-based approach was applied to detecting the urban expansion in Haidian District, Beijing, China with two Landsat Thematic Mapper (TM) data in 1997 and 2004. The results indicated that the overall accuracy was about 84.83%, and Kappa about 0.785. Compared with other conventional approaches, the object-based approach was advantageous in reducing the error accumulation of image classification of each datum and in independence to the radiometric correction and image registration accuracy.
Document Type期刊论文
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
AN Kai,ZHANG Jinshui,XIAO Yu. objectorientedurbandynamicmonitoringacasestudyofhaidiandistrictofbeijing[J]. chinesegeographicalscience,2007,017(003):236.
APA AN Kai,ZHANG Jinshui,&XIAO Yu.(2007).objectorientedurbandynamicmonitoringacasestudyofhaidiandistrictofbeijing.chinesegeographicalscience,017(003),236.
MLA AN Kai,et al."objectorientedurbandynamicmonitoringacasestudyofhaidiandistrictofbeijing".chinesegeographicalscience 017.003(2007):236.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[AN Kai]'s Articles
[ZHANG Jinshui]'s Articles
[XIAO Yu]'s Articles
Baidu academic
Similar articles in Baidu academic
[AN Kai]'s Articles
[ZHANG Jinshui]'s Articles
[XIAO Yu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[AN Kai]'s Articles
[ZHANG Jinshui]'s Articles
[XIAO Yu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.