IGSNRR OpenIR
A framework of spatiotemporal fuzzy clustering for land-cover change detection using SAR time series
Wang, Yafei1,2,3; Zhao, Feifei3,4,5; Chen, Peipei6,7
2017
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume38Issue:2Pages:450-466
Corresponding AuthorWang, Yafei(wangyf.14b@igsnrr.ac.cn)
AbstractCompared with optical satellite images, synthetic aperture radar (SAR) images are less influenced by weather conditions such as cloud and haze. With the support of SAR image time series, a framework of change detection based on spatiotemporal fuzzy clustering is presented. This framework mainly consists of three components: (1) pixel-level SAR image time-series modelling, based on scale invariant feature transform (SIFT); (2) probability analysis of change node based on iterative binary partition-mean square error model of the series is calculated to ascertain change nodes; (3) spatiotemporal fuzzy clustering is used to determine the types of change detection. To validate the method, 26 SAR images of the study area between 2004 and 2010 are utilized to monitor annual changes of cultivated land to construction land, and comparative experiments are conducted to evaluate the detection accuracy. Experimental results showed that the proposed framework could effectively extract the change nodes and change pixels, with correctness of 84.52% and completeness of 82.64%, outperforming the traditional fuzzy clustering method, as well as traditional classification methods.
DOI10.1080/01431161.2016.1268736
WOS KeywordREMOTE-SENSING DATA ; IMAGES ; SEGMENTATION ; CLASSIFICATION ; MODEL
Indexed BySCI
Language英语
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000390607700006
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/65368
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Yafei
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
2.Beijing Normal Univ, Sch Geog, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China
5.Third Railway Survey & Design Inst Grp Corp, Tianjin, Peoples R China
6.Renmin Univ China, Sch Publ Adm & Policy, Dept Land & Real Estate Management, Beijing, Peoples R China
7.China Land Surveying & Planning Inst, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wang, Yafei,Zhao, Feifei,Chen, Peipei. A framework of spatiotemporal fuzzy clustering for land-cover change detection using SAR time series[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2017,38(2):450-466.
APA Wang, Yafei,Zhao, Feifei,&Chen, Peipei.(2017).A framework of spatiotemporal fuzzy clustering for land-cover change detection using SAR time series.INTERNATIONAL JOURNAL OF REMOTE SENSING,38(2),450-466.
MLA Wang, Yafei,et al."A framework of spatiotemporal fuzzy clustering for land-cover change detection using SAR time series".INTERNATIONAL JOURNAL OF REMOTE SENSING 38.2(2017):450-466.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, Yafei]'s Articles
[Zhao, Feifei]'s Articles
[Chen, Peipei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, Yafei]'s Articles
[Zhao, Feifei]'s Articles
[Chen, Peipei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, Yafei]'s Articles
[Zhao, Feifei]'s Articles
[Chen, Peipei]'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.