CASIA OpenIR
l(p)-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data
Zhao, Xinghui1,2; Chen, Na1; Li, Weifu1,2; Peng, Jiangtao1; Shen, Lijun2
Source PublicationREMOTE SENSING
2019-08-01
Volume11Issue:16Pages:20
Corresponding AuthorShen, Lijun(lijun.shen@ia.ac.cn)
AbstractKnown as input in the Numerical Weather Prediction (NWP) models, Microwave Radiation Imager (MWRI) data have been widely distributed to the user community. With the development of remote sensing technology, improving the geolocation accuracy of MWRI data are required and the first step is to estimate the geolocation error accurately. However, the traditional method, such as the coastline inflection method (CIM), usually has the disadvantages of low accuracy and poor anti-noise ability. To overcome these limitations, this paper proposes a novel lp iterative closest point coastline inflection method (lp-ICP CIM). It assumes that the field of views (FOVs) across the coastline can degenerate into a step function and employs an lp(0 <= p<1) sparse regularization optimization model to solve the coastline point. After estimating the coastline points, the ICP algorithm is employed to estimate the corresponding relationship between the estimated coastline points and the real coastline. Finally, the geolocation error can be defined as the distance between the estimated coastline point and the corresponding point on the true coastline. Experimental results on simulated and real data sets show the effectiveness of our method over CIM. The accuracy of the geolocation error estimated by lp-ICP CIM is up to 0.1 pixel, in more than 90% of cases. We also show that the distribution of brightness temperature near the coastline is more consistent with the real coastline and the average geolocation error is reduced by 63% after geolocation error correction.
KeywordMWRI FengYun-3 geolocation error coastline inflection method l(P) sparse regularization optimization iterative closest point
DOI10.3390/rs11161886
WOS KeywordGO-ICP ; REGISTRATION ; ACCURACY ; ALGORITHM
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Problem[2018YFB0504900] ; National Key Research and Development Problem[2018YFB0504905] ; National Science Foundation of China[11771130] ; National Science Foundation of China[61871177] ; Scientific Instrument Developing Project of Chinese Academy of Sciences[YZ201671] ; Bureau of International Cooperation, CAS[153D31KYSB20170059]
Funding OrganizationNational Key Research and Development Problem ; National Science Foundation of China ; Scientific Instrument Developing Project of Chinese Academy of Sciences ; Bureau of International Cooperation, CAS
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000484387600049
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/27299
Collection中国科学院自动化研究所
Corresponding AuthorShen, Lijun
Affiliation1.Hubei Univ, Fac Math & Stat, Hubei Key Lab Appl Math, Wuhan 430062, Hubei, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhao, Xinghui,Chen, Na,Li, Weifu,et al. l(p)-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data[J]. REMOTE SENSING,2019,11(16):20.
APA Zhao, Xinghui,Chen, Na,Li, Weifu,Peng, Jiangtao,&Shen, Lijun.(2019).l(p)-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data.REMOTE SENSING,11(16),20.
MLA Zhao, Xinghui,et al."l(p)-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data".REMOTE SENSING 11.16(2019):20.
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
[Zhao, Xinghui]'s Articles
[Chen, Na]'s Articles
[Li, Weifu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhao, Xinghui]'s Articles
[Chen, Na]'s Articles
[Li, Weifu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao, Xinghui]'s Articles
[Chen, Na]'s Articles
[Li, Weifu]'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.