IGSNRR OpenIR
A WTLS-based rational function model for orthorectification of remote-sensing imagery
Ge, Yong1; Wei, Yongzhao2; Song, Yongze3; Wu, Tianjun2; Stein, Alfred4; Guo, Xian1; Zhou, Chenghu1; Ma, Jianghong2
2017
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume38Issue:23Pages:7281-7301
Corresponding AuthorGe, Yong(gey@lreis.ac.cn) ; Guo, Xian(guoxian@lreis.ac.cn)
AbstractThe rational function model (RFM) is widely applied to orthorectification of aerial and satellite imagery. This article proposes a newmethod named Ortho-WTLS to solve the RFM in remote-sensing imagery orthorectification. Based on a weighted total least squares (WTLS) estimator, the proposed method allows one to handle coordinates of ground control points (GCPs) that contain errors and are of unequal accuracies. This situation occurs, e.g. if GCPs are automatically selected. In the proposed model, first, the relationship of two linearization methods for an RFM with errors contained in GCPs is investigated and results in a hybrid linearization. Next, based on WTLS, RFM coefficients are estimated with an iterative computation function. Finally, the performance of the Ortho-WTLS method thus obtained is investigated using simulated images and remotely sensed images by collecting GCPs with varying errors. Experimental results show that the Ortho-WTLS method achieves a more robust estimation of model parameters and a higher orthorectification accuracy when compared with standard LS-based RFM estimation. We conclude that the quality of GCPs has a large impact on the accuracy and that an increasing number of low-precision GCPs may lead to a decrease in orthorectification quality.
DOI10.1080/01431161.2017.1372860
WOS KeywordLEAST-SQUARES ; REGISTRATION ; REGRESSION ; POINTS
Indexed BySCI
Language英语
Funding ProjectMinistry of Science and Technology of China[2012BAH33B01] ; Chinese Academy of Sciences[KZCX2-EW-QN303] ; National Natural Science Foundation of China[41471296] ; National Natural Science Foundation of China[41601389]
Funding OrganizationMinistry of Science and Technology of China ; Chinese Academy of Sciences ; National Natural Science Foundation of China
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000412545900041
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/311030/62331
Collection中国科学院地理科学与资源研究所
Corresponding AuthorGe, Yong; Guo, Xian
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
2.Changan Univ, Dept Math & Informat Sci, Xian, Shaanxi, Peoples R China
3.Curtin Univ, Sch Built Environm, Australasian Joint Res Ctr Bldg Informat Modellin, Perth, WA, Australia
4.Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands
Recommended Citation
GB/T 7714
Ge, Yong,Wei, Yongzhao,Song, Yongze,et al. A WTLS-based rational function model for orthorectification of remote-sensing imagery[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2017,38(23):7281-7301.
APA Ge, Yong.,Wei, Yongzhao.,Song, Yongze.,Wu, Tianjun.,Stein, Alfred.,...&Ma, Jianghong.(2017).A WTLS-based rational function model for orthorectification of remote-sensing imagery.INTERNATIONAL JOURNAL OF REMOTE SENSING,38(23),7281-7301.
MLA Ge, Yong,et al."A WTLS-based rational function model for orthorectification of remote-sensing imagery".INTERNATIONAL JOURNAL OF REMOTE SENSING 38.23(2017):7281-7301.
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