Study on neural network model of estimating the sea state bias for radar altimeters

Guo Yingting; Miao Hongli; Zhang Guoshou; Jing Yujie; Wang Guizhong

doi:10.3969/j.issn.0253-4193.2017.07.012

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Guo Yingting, Miao Hongli, Zhang Guoshou, Jing Yujie, Wang Guizhong. Study on neural network model of estimating the sea state bias for radar altimeters[J]. Haiyang Xuebao, 2017, 39(7): 124-130. doi: 10.3969/j.issn.0253-4193.2017.07.012

Citation:

Guo Yingting, Miao Hongli, Zhang Guoshou, Jing Yujie, Wang Guizhong. Study on neural network model of estimating the sea state bias for radar altimeters[J]. Haiyang Xuebao, 2017, 39(7): 124-130. doi: 10.3969/j.issn.0253-4193.2017.07.012

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Study on neural network model of estimating the sea state bias for radar altimeters

doi: 10.3969/j.issn.0253-4193.2017.07.012

College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China

Received Date: 2016-09-05
Rev Recd Date: 2016-12-05

Abstract

Abstract

In this paper, which is based on the Jason-2 altimeter data, with the data of the significant wave height (SWH), wind speed (U) and sea state bias (SSB) combination of 1-6 cycle in 12 different seasons in the cycle data as the training set, select the other 3 cycles of Jason-2 data as the test set. By the test analysis, the BP neural network model which corresponds to 3 cycles for estimating the SSB is established. The model is applied to the estimations of SSB in the HY-2 altimeter, and the performances of the model can be evaluated by the goodness of fit between U and SWH by SSB, explained variance and residual contrast analysis. It suggests that the BP neutral network model can be effectively applied to the HY-2 estimations of SSB and significantly better than the traditional parameter model of sea state bias.
- radar altimeter,
- sea state bias,
- neural network model,
- wave height,
- wind speed

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References(13)

References

Elfouhaily T, Thompson D R, Chapron B, et al. Improved electromagnetic bias theory[J]. Journal of Geophysical Research, 2000, 105(C1):1299-1310.

Fu L L, Cazenave A. Satellite Altimetry and Earth Sciences:A Handbook of Techniques and Applications[M]. San Diego:Academic Press, 2001:1-4.

Zhang Guoshou, Miao Hongli, Wang Guizhong, et al. Study on parametric models of estimating the sea state bias based on the HY-2 altimeter[C]//IEEE International Congress on Image and Signal Processing. 2015:1100-1104.

Zhou Xiaoguang, Miao Hongli, Wang Yahui, et al. Study on the determination of crossovers by piecewise fitting of satellite ground track[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(6):811-815.

Gaspar P, Labroue S, Ogor F, et al. Improving nonparametric estimates of the sea state bias in radar altimeter measurements of sea level[J]. Journal of Atmospheric & Oceanic Technology, 2002, 19(10):1690-1707.

Labroue S, Gaspar P, Dorandeu J, et al. Nonparametric estimates of the sea state bias for the Jason-1 radar altimeter[J]. Marine Geodesy, 2004, 27(3):453-481.

Vandemark D, Tran N, Beckley B, et al. Direct estimation of sea state impacts on radar altimeter sea level measurements[J]. Geophysical Research Letters, 2002, 29(24):48-52.

Li Ruping, Zhu Lian, Wu Fangshen, et al. BP neural network algorithm improvement and application research[J]. Journal of Heze University, 2016,38(2):13-17.

Xiao Zhi, Ye Shijie, Zhong Bo, et al. BP neural network with rough set for short term load forecasting. Expert Systems with Applications, 2009, 36(1):273-279.

王晶晶,王剑.一种BP神经网络改进算法研究[J].软件导刊,2015(3):52-53. Wing Jingjing, Wang Jian. Research on an improved algorithm of back-propagation neural network[J]. Software Guide, 2015(3):52-53.

李书光, 王云海, 苗洪利, 等. 基于JASON-1高度计的海况偏差校正参数模型[J]. 中国石油大学学报(自然科学版), 2013, 37(2):181-185. Li Shuguang, Wang Yunhai, Miao Hongli, et al. Sea state bias correction parameter model based on JASON-1 altimeter[J]. Journal of China University of Petroleum(Natural Science Edition), 2013, 37(2):181-185.

王桂忠, 苗洪利, 王鑫, 等. 基于共线和交叉点融合数据的高度计海况偏差参数模型的研究[J]. 遥感技术与应用, 2014, 29(1):176-180. Wang Guizhong, Miao Hongli, Wang Xin, et al. Study on the altimeter sea state bias parameter model of data fusion based on collinear and crossover[J]. Remote Sensing Technology and Application, 2014, 29(1):176-180.

苗洪利, 王鑫, 王桂忠, 等. 改进的高度计海况偏差估计参数模型研究[J]. 中国海洋大学学报(自然科学版), 2015, 45(12):119-124. Miao Hongli, Wang Xin, Wang Guizhong, et al. Study on parameter estimation of altimeter sea state bias improved[J]. Journal of Ocean University of China(Natural Science Edition), 2015, 45(12):119-124.

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