Influence of reconstruction scale, spatial resolution and pixel spatial relationships on the sub-pixel mapping accuracy of a double-calculated spatial attraction model

doi:10.1016/j.rse.2018.03.015

	Influence of reconstruction scale, spatial resolution and pixel spatial relationships on the sub-pixel mapping accuracy of a double-calculated spatial attraction model
	Wu, Shangrong 1; Ren, Jianqiang 1; Chen, Zhongxin 1; Jin, Wujun 2; Liu, Xingren 3; Li, He 4; Pan, Haizhu 1; Guo, Wenqian 1
刊名	REMOTE SENSING OF ENVIRONMENT
	2018-06-01
卷号	210 页码:345-361
关键词	Sub-pixel mapping Super-resolution mapping Double-calculated spatial attraction model Scale factor Pixel spatial relationships Spatial resolution
ISSN号	0034-4257
DOI	10.1016/j.rse.2018.03.015
通讯作者	Ren, Jianqiang(renjianqiang@caas.cn) ; Chen, Zhongxin(chenzhongxin@caas.cn)
英文摘要	Mixed 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.
资助项目	National 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]
WOS关键词	REMOTELY-SENSED IMAGERY ; HOPFIELD NEURAL-NETWORK ; GROUND REFERENCE DATA ; LAND-COVER CHANGE ; CONTOURING METHODS ; SENSING IMAGERY ; MAP MODEL ; CLASSIFICATION ; ALGORITHM ; DEPENDENCE
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000431164300025
资助机构	National 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)
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/54995]
专题	中国科学院地理科学与资源研究所
通讯作者	Ren, Jianqiang; Chen, Zhongxin
作者单位	1.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
推荐引用方式 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.