IGSNRR OpenIR
An edge-suppressed points voting method for extracting rural residential areas from high spatial resolution images
Wang, Zhihua1,2; Yang, Xiaomei1,3
2017
Source PublicationREMOTE SENSING LETTERS
ISSN2150-704X
Volume8Issue:4Pages:380-388
Corresponding AuthorYang, Xiaomei(yangxm@lreis.ac.cn)
AbstractExtraction of rural residential areas from high spatial resolution remote sensing images is important for monitoring urban development and assessing disasters. In practice, plant rows in dry lands, field ridges and vegetable greenhouses around rural residential areas are easily confused in the images. To eliminate or reduce these confusions, an edge-suppressed points voting (ESPV) method is proposed. The rationale is that these nonrelated line-segment features have striking differences in perpendicular directional filtering responses. Comparison experiments indicate that ESPV can eliminate a lot of confusions and perform well in rural residential area extraction in accuracy aspect.
DOI10.1080/2150704X.2016.1274442
WOS KeywordVISUAL-ATTENTION ; INDEX ; MODEL
Indexed BySCI
Language英语
Funding ProjectNational Science Foundation of China[41671436] ; National Science Foundation of China[41421001] ; National Science and Technology Support Plan Grant[2014BAL01B01] ; National Key Research and Development Program of China[2016YFB0501404] ; Innovation Project of LREIS[O88RAA01YA]
Funding OrganizationNational Science Foundation of China ; National Science and Technology Support Plan Grant ; National Key Research and Development Program of China ; Innovation Project of LREIS
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000393715100009
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64910
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYang, Xiaomei
Affiliation1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Wang, Zhihua,Yang, Xiaomei. An edge-suppressed points voting method for extracting rural residential areas from high spatial resolution images[J]. REMOTE SENSING LETTERS,2017,8(4):380-388.
APA Wang, Zhihua,&Yang, Xiaomei.(2017).An edge-suppressed points voting method for extracting rural residential areas from high spatial resolution images.REMOTE SENSING LETTERS,8(4),380-388.
MLA Wang, Zhihua,et al."An edge-suppressed points voting method for extracting rural residential areas from high spatial resolution images".REMOTE SENSING LETTERS 8.4(2017):380-388.
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