The retrieval of a nearshore wave frequency spectrum with X-band radar based on neural network

WANG Jing; TANG Junwu; HE Yijun; WANG Xin; PAN Yufang

doi:10.3969/j.issn.0253 4193.2013.02.006

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WANG Jing, TANG Junwu, HE Yijun, WANG Xin, PAN Yufang. The retrieval of a nearshore wave frequency spectrum with X-band radar based on neural network[J]. Haiyang Xuebao, 2013, 35(2): 43-51. doi: 10.3969/j.issn.0253 4193.2013.02.006

Citation:

WANG Jing, TANG Junwu, HE Yijun, WANG Xin, PAN Yufang. The retrieval of a nearshore wave frequency spectrum with X-band radar based on neural network[J]. Haiyang Xuebao, 2013, 35(2): 43-51. doi: 10.3969/j.issn.0253 4193.2013.02.006

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The retrieval of a nearshore wave frequency spectrum with X-band radar based on neural network

doi: 10.3969/j.issn.0253 4193.2013.02.006

1.
State Key Laboratory of Remote Sensing Science, Beijing 100101, China;Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
2.
State Key Laboratory of Remote Sensing Science, Beijing 100101, China;National Ocean Technology Center, State Oecanic Administration, Tianjin 300112, China
3.
Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
4.
National Ocean Technology Center, State Oecanic Administration, Tianjin 300112, China
5.
Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China

Received Date: 2012-04-11
Rev Recd Date: 2012-10-01

Abstract

Abstract

As a new tool for ocean wave measurement interiorly, X-band radar can be used to provide sea state information and a wave field can be get form an image sequence.However, there are still some problems in the retrieval of wave frequency spectrum and significant wave height (H_s).A nonlinear regression method was used to fit the in situ wave frequency spectrum and radar one-dimension image spectrum with standard PM, JONSWAP and TMA spectrum, and the basic form and the corresponding spectral parameters can be obtained accurately.Then, a generalized regression neural network model (GRNN) was introduced to retrieve the wave frequency spectral parameters from the one-dimensional radar image spectrum parameters.In the model, the signal-to-noise ratio (SNR) of the image sequence was added to set up a nonlinear relationship with H_s,and the inversion results with the in situ data and the traditional algorithm result (the establishment of the linear regression equation between SNR and H_s) were compared.The results show that the mean error of spectral parameters and significant wave height are less than 20%, while the mean error of the traditional algorithm is more than 20%.
- X-band radar,
- wave frequency spectrum,
- significant wave height,
- nonlinear regression,
- neural network

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References(15)

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