l(0 )Sparse Approximation of Coastline Inflection Method on FY-3C MWRI Data

doi:10.1109/LGRS.2018.2867738

	l(0 )Sparse Approximation of Coastline Inflection Method on FY-3C MWRI Data
	Li, Weifu 1,2; Luo, Zhicheng 1,2; Liu, Chengbo 3; Liu, Jiazheng 4; Shen, Lijun4 ; Xie, Qiwei 5; Han, Hua4 ; Yang, Lei 3
刊名	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
	2019
卷号	16 期号:1 页码:85-89
关键词	Coastline inflection method (CIM) FengYun-3C (FY-3C) geolocation l(0) sparse microwave radiation imager (MWRI)
ISSN号	1545-598X
DOI	10.1109/LGRS.2018.2867738
通讯作者	Yang, Lei(yangl@cma.gov.cn)
英文摘要	The microwave radiation imager (MWRI) located onboard the FengYun-3C (FY-3C) satellite provides a considerable amount of critical information for numerical weather predictions. Obtaining accurate geolocation results from the FY-3C MWRI data is of great importance. In this letter, we improve the traditional coastline inflection method (CIM) and propose an l(0) sparse approximation model for geolocation error estimation and correction. Specifically, we propose using the jump point of the step function to estimate the true coastline point. This approach can characterize the geolocation errors more accurately than the CIM, which further improves the geolocation accuracy. In the theoretical part, we provide a complete solution to obtain the step function through an iterative blind deconvolution. For a practical use, we demonstrate the effectiveness of the proposed method for geolocation error estimation through quantitative results obtained on the FY-3C MWRI data. The experimental results show that the proposed method can achieve an improvement of up to 33.33% in the standard deviation of geolocation errors (approximately 0.00030) compared to the traditional CIM (approximately 0.00045). Furthermore, we also apply the proposed method to the FY-3C satellite and improve the geolocation accuracy of the MWRI data through geolocation error correction.
资助项目	National Key Research and Development Problem[2018YFB0504900] ; National Key Research and Development Problem[2018YFB0504905] ; National Science Foundation of China[11771130] ; National Science Foundation of China[41501392] ; National Science Foundation of China[61871177] ; National Science Foundation of China[61673381] ; National Science Foundation of China[61701497] ; National Science Foundation of China[91338109] ; National Science Foundation of China[61172113] ; Scientific Instrument Developing Project of Chinese Academy of Sciences[YZ201671] ; Bureau of International Cooperation, CAS[153D31KYSB20170059]
WOS关键词	ACCURACY
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000455181800018
资助机构	National Key Research and Development Problem ; National Science Foundation of China ; Scientific Instrument Developing Project of Chinese Academy of Sciences ; Bureau of International Cooperation, CAS
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/25319]
专题	中国科学院自动化研究所
通讯作者	Yang, Lei
作者单位	1.Hubei Univ, Fac Math & Stat, Wuhan 430062, Hubei, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 3.China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China 4.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 5.Beijing Univ Technol, Data Min Lab, Beijing 100124, Peoples R China
推荐引用方式 GB/T 7714	Li, Weifu,Luo, Zhicheng,Liu, Chengbo,et al. l(0 )Sparse Approximation of Coastline Inflection Method on FY-3C MWRI Data[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2019,16(1):85-89.
APA	Li, Weifu.,Luo, Zhicheng.,Liu, Chengbo.,Liu, Jiazheng.,Shen, Lijun.,...&Yang, Lei.(2019).l(0 )Sparse Approximation of Coastline Inflection Method on FY-3C MWRI Data.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,16(1),85-89.
MLA	Li, Weifu,et al."l(0 )Sparse Approximation of Coastline Inflection Method on FY-3C MWRI Data".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 16.1(2019):85-89.