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

doi:10.1080/01431161.2017.1372860

	A WTLS-based rational function model for orthorectification of remote-sensing imagery
	Ge, Yong 1; Wei, Yongzhao 2; Song, Yongze 3; Wu, Tianjun 2; Stein, Alfred 4; Guo, Xian 1; Zhou, Chenghu 1; Ma, Jianghong 2
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2017
卷号	38 期号:23 页码:7281-7301
ISSN号	0143-1161
DOI	10.1080/01431161.2017.1372860
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.
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关键词	LEAST-SQUARES ; REGISTRATION ; REGRESSION ; POINTS
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000412545900041
资助机构	Ministry of Science and Technology of China ; Chinese Academy of Sciences ; National Natural Science Foundation of China
内容类型	期刊论文
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.