Sea Surface Wind Speed Retrieval From Textures in Synthetic Aperture Radar Imagery

doi:10.1109/TGRS.2021.3062401

IOCAS-IR > 海洋环流与波动重点实验室

	Sea Surface Wind Speed Retrieval From Textures in Synthetic Aperture Radar Imagery
	Zhou, Lizhang 1,2; Zheng, Gang 2,3; Yang, Jingsong 1,2,3; Li, Xiaofeng 4,5; Zhang, Bin 4,5; Wang, He 6; Chen, Peng 2; Wang, Yan 2
	2022
发表期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN	0196-2892
卷号	60 页码:11
通讯作者	Zheng, Gang([email protected]) ; Yang, Jingsong([email protected])
摘要	Wind-induced oriented textures (WIOTs) are commonly used to retrieve sea surface wind directions from synthetic aperture radar (SAR) images. In this study, we found that WIOTs are also related to sea surface wind speeds (SSWSs). The entropy values in the gray-level cooccurrence matrices (GLCMs) for SAR images containing WIOTs will become steady with increasing distance between pairs of pixels. Furthermore, these steady values of entropy (SVEs) show a clear linear relationship with SSWSs. As a result, an SSWS retrieval model was developed based on this relationship. We used 2222/2223 Sentinel-1 SAR images (wind speed ranges from 5 to 20 m/s) to fit/validate the algorithm. The retrieved SSWSs were compared with the European Centre for Medium-Range Weather Forecast (ECMWF) SSWSs, Cross-Calibrated Multi-Platform (CCMP) SSWSs, and Tropical Atmosphere/Ocean (TAO) buoy measurements, and the root-mean-square differences (RMSDs) were 1.78, 1.70, and 1.78 m/s, respectively. The new model was also tested for SAR images acquired under hurricane conditions. The wind comparisons against stepped-frequency microwave radiometer (SFMR) measurements show an RMSD of 1.28 m/s. Our modelx2019;s performance was also tested with the images at different spatial scales in the validation data set. Since the model is based on inherent image patterns, it still works well for SAR images without precise calibration.
关键词	Radar polarimetry Sea surface Oceanography Atmospheric modeling Surface waves Atmospheric waves Wind speed Entropy gray-level cooccurrence matrix (GLCM) synthetic aperture radar (SAR) sea surface wind speed (SSWS) textures
DOI	10.1109/TGRS.2021.3062401
收录类别	SCI
语种	英语
资助项目	Zhejiang Provincial Natural Science Foundation of China[LR21D060002]; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19090103]; National Natural Science Foundation of China[41676167]; Key Research and Development Project of Shandong Province[2019JZZY010102]; Project of State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography[SOEDZZ2003]
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:000728266600089
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：14[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/177468
专题	海洋环流与波动重点实验室
通讯作者	Zheng, Gang; Yang, Jingsong
作者单位	1.Zhejiang Univ, Ocean Coll, Zhoushan 316021, Peoples R China 2.Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou 310012, Peoples R China 3.Southern Marine Sci & Engn Guangdong Lab, Zhuhai 519082, Peoples R China 4.Chinese Acad Sci, Big Data Ctr, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 5.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China 6.Minist Nat Resources, Natl Ocean Technol Ctr, Tianjin 300112, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Lizhang,Zheng, Gang,Yang, Jingsong,et al. Sea Surface Wind Speed Retrieval From Textures in Synthetic Aperture Radar Imagery[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60:11.
APA	Zhou, Lizhang.,Zheng, Gang.,Yang, Jingsong.,Li, Xiaofeng.,Zhang, Bin.,...&Wang, Yan.(2022).Sea Surface Wind Speed Retrieval From Textures in Synthetic Aperture Radar Imagery.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60,11.
MLA	Zhou, Lizhang,et al."Sea Surface Wind Speed Retrieval From Textures in Synthetic Aperture Radar Imagery".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022):11.

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文件名称/大小	文献类型	版本类型	开放类型	使用许可
Sea_Surface_Wind_Spe（27025KB）	期刊论文	出版稿	限制开放	CC BY-NC-SA	浏览