l(0 )Sparse Approximation of Coastline Inflection Method on FY-3C MWRI Data | |
Li, Weifu1,2; Luo, Zhicheng1,2; Liu, Chengbo3; Liu, Jiazheng4; Shen, Lijun4; Xie, Qiwei5; Han, Hua4; Yang, Lei3 | |
发表期刊 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS |
ISSN | 1545-598X |
2019 | |
卷号 | 16期号:1页码:85-89 |
通讯作者 | Yang, Lei(yangl@cma.gov.cn) |
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. |
关键词 | Coastline inflection method (CIM) FengYun-3C (FY-3C) geolocation l(0) sparse microwave radiation imager (MWRI) |
DOI | 10.1109/LGRS.2018.2867738 |
关键词[WOS] | ACCURACY |
收录类别 | SCI |
语种 | 英语 |
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] ; 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] |
项目资助者 | 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 |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS类目 | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000455181800018 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
七大方向——子方向分类 | 图像视频处理与分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/25320 |
专题 | 类脑智能研究中心_微观重建与智能分析 |
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 |
第一作者单位 | 中国科学院自动化研究所 |
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. |
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