Spatial interpolation of current mapped by HF surface wave radar using BP neural network

Huang Qihua; Wu Xiongbin; Yue Xianchang; Zhang Lan

doi:10.3969/j.issn.0253-4193.2019.05.013

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Huang Qihua, Wu Xiongbin, Yue Xianchang, Zhang Lan. Spatial interpolation of current mapped by HF surface wave radar using BP neural network[J]. Haiyang Xuebao, 2019, 41(5): 138-145. doi: 10.3969/j.issn.0253-4193.2019.05.013

Citation:

Huang Qihua, Wu Xiongbin, Yue Xianchang, Zhang Lan. Spatial interpolation of current mapped by HF surface wave radar using BP neural network[J]. Haiyang Xuebao, 2019, 41(5): 138-145. doi: 10.3969/j.issn.0253-4193.2019.05.013

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Spatial interpolation of current mapped by HF surface wave radar using BP neural network

doi: 10.3969/j.issn.0253-4193.2019.05.013

School of Electronic Information, Wuhan University, Wuhan 430072, China

Received Date: 2018-06-22

Abstract

Abstract

High frequency (HF) ground wave radar is an important means of sea monitoring, HF radar routine observations of sea current have been operated for decades of years. Gaps in current data often occur due to external interferences. In order to ensure the integrity and accuracy of regional data, a back propagation (BP) neutral network interpolation model for ocean current is established by combining BP network technology and spatial interpolation. Two other interpolation methods, inverse distance weighted method and linear interpolation method, are adopted for comparison to validate the performance of the BP neutral network interpolation model. Simulations are conducted to analysis the performance of this new model in the cases of large areas of ocean current loss, large current velocity and relatively small current velocity. The results show that the prediction effect of the BP neutral network method is obviously better than the other two methods, and the new model also achieves good results in the absence of a wide range of current.
- high frequency ground wave radar,
- ocean surface current,
- spatial interpolation,
- BP neutral network

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References(25)

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