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A WTLS-based rational function model for orthorectification of remote-sensing imagery

文献类型：期刊论文

作者Ge, Yong1; Wei, Yongzhao2; Song, Yongze3; Wu, Tianjun2; Stein, Alfred4; Guo, Xian1; Zhou, Chenghu1; Ma, Jianghong2
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
出版日期2017
卷号38期号:23页码:7281-7301
ISSN号0143-1161
DOI10.1080/01431161.2017.1372860
通讯作者Ge, Yong(gey@lreis.ac.cn) ; Guo, Xian(guoxian@lreis.ac.cn)
英文摘要The 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.
WOS关键词LEAST-SQUARES ; REGISTRATION ; REGRESSION ; POINTS
资助项目Ministry 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]
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000412545900041
出版者TAYLOR & FRANCIS LTD
资助机构Ministry of Science and Technology of China ; Chinese Academy of Sciences ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/62330]  
专题中国科学院地理科学与资源研究所
通讯作者Ge, Yong; Guo, Xian
作者单位1.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
推荐引用方式
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.

入库方式： OAI收割

来源：地理科学与资源研究所

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