IGSNRR OpenIR
Influence of reconstruction scale, spatial resolution and pixel spatial relationships on the sub-pixel mapping accuracy of a double-calculated spatial attraction model
Wu, Shangrong1; Ren, Jianqiang1; Chen, Zhongxin1; Jin, Wujun2; Liu, Xingren3; Li, He4; Pan, Haizhu1; Guo, Wenqian1
2018-06-01
Source PublicationREMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
Volume210Pages:345-361
Corresponding AuthorRen, Jianqiang(renjianqiang@caas.cn) ; Chen, Zhongxin(chenzhongxin@caas.cn)
AbstractMixed pixels universally exist in remote sensing images, and they are one of the main obstacles for further improving the accuracy of land cover recognition and classification. Since the concept of sub-pixel mapping (SPM) is proposed, SPM technology has rapidly become an important method to solve the problem of mixed pixels. To further improve SPM accuracy, this paper first proposes a double-calculated spatial attraction model (DSAM) combining the advantages of the spatial attraction model (SAM) and the pixel swap model (PSM). Then, based on the full validation of the proposed DSAM, how multiple factors affect the SPM accuracy is analyzed using the multispectral remote sensing (MRS) images. Finally, by analyzing the maximum variations in the ranges of the overall accuracy and the kappa coefficient under different multiple factors, the order of factors influencing SPM accuracy is determined as follows: reconstruction scale > image spatial resolution > pixel spatial relationships. The results can serve as a reference for other scholars in setting model parameters and selecting the appropriate remote sensing data, thereby helping them achieve more accurate SPM results.
KeywordSub-pixel mapping Super-resolution mapping Double-calculated spatial attraction model Scale factor Pixel spatial relationships Spatial resolution
DOI10.1016/j.rse.2018.03.015
WOS KeywordREMOTELY-SENSED IMAGERY ; HOPFIELD NEURAL-NETWORK ; GROUND REFERENCE DATA ; LAND-COVER CHANGE ; CONTOURING METHODS ; SENSING IMAGERY ; MAP MODEL ; CLASSIFICATION ; ALGORITHM ; DEPENDENCE
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41471364] ; National Natural Science Foundation of China[61661136006] ; National Natural Science Foundation of China[41371396] ; Introduction of International Advanced Agricultural Science and Technology, Ministry of Agriculture, China (948 Program)[2016-X38] ; Fundamental Research Funds for Central Non-profit Scientific Institution[1610132016063] ; Open Project Fund for Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture[201708] ; National High Technology Research and Development Program of China (863 Program)[2012AA12A307]
Funding OrganizationNational Natural Science Foundation of China ; Introduction of International Advanced Agricultural Science and Technology, Ministry of Agriculture, China (948 Program) ; Fundamental Research Funds for Central Non-profit Scientific Institution ; Open Project Fund for Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture ; National High Technology Research and Development Program of China (863 Program)
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000431164300025
PublisherELSEVIER SCIENCE INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54996
Collection中国科学院地理科学与资源研究所
Corresponding AuthorRen, Jianqiang; Chen, Zhongxin
Affiliation1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr, Beijing 100081, Peoples R China
2.SINOPEC, Explorat & Prod Res Inst, Beijing 100083, Peoples R China
3.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Wu, Shangrong,Ren, Jianqiang,Chen, Zhongxin,et al. Influence of reconstruction scale, spatial resolution and pixel spatial relationships on the sub-pixel mapping accuracy of a double-calculated spatial attraction model[J]. REMOTE SENSING OF ENVIRONMENT,2018,210:345-361.
APA Wu, Shangrong.,Ren, Jianqiang.,Chen, Zhongxin.,Jin, Wujun.,Liu, Xingren.,...&Guo, Wenqian.(2018).Influence of reconstruction scale, spatial resolution and pixel spatial relationships on the sub-pixel mapping accuracy of a double-calculated spatial attraction model.REMOTE SENSING OF ENVIRONMENT,210,345-361.
MLA Wu, Shangrong,et al."Influence of reconstruction scale, spatial resolution and pixel spatial relationships on the sub-pixel mapping accuracy of a double-calculated spatial attraction model".REMOTE SENSING OF ENVIRONMENT 210(2018):345-361.
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
[Wu, Shangrong]'s Articles
[Ren, Jianqiang]'s Articles
[Chen, Zhongxin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wu, Shangrong]'s Articles
[Ren, Jianqiang]'s Articles
[Chen, Zhongxin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wu, Shangrong]'s Articles
[Ren, Jianqiang]'s Articles
[Chen, Zhongxin]'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.