An inverse method for estimating air volume fraction of sea foam from emissivity data

doi:10.1080/01431161.2018.1468113

IOCAS-IR

	An inverse method for estimating air volume fraction of sea foam from emissivity data
	Wei, En-Bo 1,2; Gao, Hong-Xiu 1,2,3; Liu, Shu-Bo4 ; Li, Guang-Yan 5; Gao, Le 1,2
	2018
发表期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
卷号	39 期号:21 页码:7293-7310
通讯作者	Wei, En-Bo([email protected]) ; Li, Guang-Yan([email protected]) ; Gao, Le([email protected])
摘要	The air volume fraction (AVF) of a sea foam layer is a key parameter that affects the microwave emissivity and brightness temperature of the sea surface. To extract AVF of a sea foam layer from the measured emissivity data at microwave frequencies, a novel retrieval method is developed based on the spectral representation of effective dielectric constant of sea foam composites media, with the volume fraction of constituents and the geometry of foam microstructure included in the spectral function. In the retrieval method, the cost function of emissivity is constructed with two constraints: one is the first two moments of the spectral function and the other is derived from the spectral representation of coated spherical composites. We tested the inverse method using the simulation data of a known emissivity model with Gaussian noise. Good agreement is obtained between the inverse results and the known AVF of sea foam from the simulated emissivity data with varying sea surface temperature, salinity, and incident angle. Finally, the proposed method was used to estimate the AVF of the sea foam layer from the measured emissivity data at frequencies 1.4, 6.8, 10.8, 35, and 36.5 GHz. Generally, the retrieved values of the AVF fall in the range of 0.85-0.98. This study implies that our method can be extended to retrieve the volume fraction of constituents of other composites media from the passive microwave remote-sensing data.
DOI	10.1080/01431161.2018.1468113
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2016YFC1401006]###2415; National Natural Science Foundation of China [NSFC][41676169]###2416; National Key R&D Program of China[2016YFC1401006]; National Natural Science Foundation of China [NSFC][41676169]
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000456446600010
出版者	TAYLOR & FRANCIS LTD
引用统计	被引频次：4[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/337002/160716
专题	中国科学院海洋研究所
通讯作者	Wei, En-Bo; Li, Guang-Yan; Gao, Le
作者单位	1.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266071, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.China Acad Space Technol, Xian, Shaanxi, Peoples R China 5.Northeast Normal Univ, Sch Phys, Changchun 130024, Jilin, Peoples R China
推荐引用方式 GB/T 7714	Wei, En-Bo,Gao, Hong-Xiu,Liu, Shu-Bo,et al. An inverse method for estimating air volume fraction of sea foam from emissivity data[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2018,39(21):7293-7310.
APA	Wei, En-Bo,Gao, Hong-Xiu,Liu, Shu-Bo,Li, Guang-Yan,&Gao, Le.(2018).An inverse method for estimating air volume fraction of sea foam from emissivity data.INTERNATIONAL JOURNAL OF REMOTE SENSING,39(21),7293-7310.
MLA	Wei, En-Bo,et al."An inverse method for estimating air volume fraction of sea foam from emissivity data".INTERNATIONAL JOURNAL OF REMOTE SENSING 39.21(2018):7293-7310.

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