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Remote Sensing Technology and Application  2014, Vol. 29 Issue (1): 176-180    DOI: 10.11873/j.issn.1004\|0323.2014.1.0176
    
Study on Parametric Model of Sea State Bias in Altimete based on Fusion Dataset of Collinear and Crossover
Wang Guizhong1,Miao Hongli1,Wang Xin1,Wang Yongqiang1,Zhang Jie2
(1.Ocean University of China,College of Information Science and Engineering,Qingdao 266100,China;
2.First Institute of Oceanography,SOA,Qingdao 266061,China )
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Abstract  

The parametric model of sea state bias can be divided into crossover model and collinear model according to the dataset that used,both of the two kinds of models have their own advantages and disadvantages.Fusing the crossover dataset and collinear dataset to establish fusion dataset,comparing to the fusion dataset,crossover dataset and collinear dataset,the results show that the fusion dataset has advantage in temporal,space coverage and data value.Its spatial resolution meets the satellite radar altimeter observations demand.The explain variance of the model which computed from fusion dataset is higher than the others,which means the model is more efficiency.

Key words:  Altimeter      Sea State Bias      Parametric Model      Fusion Data     
Received:  28 April 2013      Published:  14 May 2014
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Wang Guizhong
Miao Hongli
Wang Xin
Wang Yongqiang
Zhang Jie

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Wang Guizhong,Miao Hongli,Wang Xin,Wang Yongqiang,Zhang Jie. Study on Parametric Model of Sea State Bias in Altimete based on Fusion Dataset of Collinear and Crossover. Remote Sensing Technology and Application, 2014, 29(1): 176-180.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004\|0323.2014.1.0176     OR     http://www.rsta.ac.cn/EN/Y2014/V29/I1/176

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