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Spatial Resolution and Precision Properties of Scatterometer Reconstruction Algorithms
Liu, Liling; Dong, Xiaolong; Lin, Wenming; Zhu, Jintai; Zhu, Di; Dong, XL (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
Department微波遥感部
Source PublicationIEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
2017
Volume10Issue:5Pages:2372-2382
ISSN1939-1404
Language英语
KeywordLocal Impulse Response Reconstruction Algorithms Resolution Scatterometer Spatial Response Function (Srf)
AbstractVarious reconstruction methods have been used to enhance the spatial resolution of scatterometer data. Most of the image reconstructions are two-dimensional problems, which combine multiple passes of overlapping data over the temporally homogeneous surface, and thus are only suitable for land and ice applications. This paper attempts to address the one-dimensional reconstruction to enhance the azimuth resolution of scatterometer data using a single pass of observations. Since the range resolution determined by the on-board dechirping technique is generally up to several hundred meters, the one-dimensional reconstruction is adequate for certain near real-time ocean applications, such as the development of coastal scatterometer winds. Three well-known reconstruction algorithms, including additive algebraic reconstruction technique (AART), multiplicative algebraic reconstruction technique (MART), and scatterometer image reconstruction (SIR), are evaluated. The spatial resolution and the reconstruction precision resolved by each algorithm are separately analyzed using the local impulse response and Monte Carlo methods. The dependence of the spatial resolution and the reconstruction precision on a variety of parameters, such as the mean backscatter coefficient and its variance, the beamwidth of spatial response function (SRF), and the SRF function type, is evaluated using a simulation framework. In particular, the tradeoff between the spatial resolution and the reconstruction precision is examined for three algorithms. The results show that SIR offers the quickest convergence and lowest noise.
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/6000
Collection微波遥感部
Corresponding AuthorDong, XL (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
Recommended Citation
GB/T 7714
Liu, Liling,Dong, Xiaolong,Lin, Wenming,et al. Spatial Resolution and Precision Properties of Scatterometer Reconstruction Algorithms[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2017,10(5):2372-2382.
APA Liu, Liling,Dong, Xiaolong,Lin, Wenming,Zhu, Jintai,Zhu, Di,&Dong, XL .(2017).Spatial Resolution and Precision Properties of Scatterometer Reconstruction Algorithms.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,10(5),2372-2382.
MLA Liu, Liling,et al."Spatial Resolution and Precision Properties of Scatterometer Reconstruction Algorithms".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 10.5(2017):2372-2382.
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