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Study of Algorithms for Wind Direction Retrieval from X-Band Marine Radar Images

1
School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China
2
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
3
Department of Electrical and Computer Engineering, COMSATS University Islamabad, 43600 Attock Campus, Pakistan
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(7), 764; https://doi.org/10.3390/electronics8070764
Received: 29 April 2019 / Revised: 3 July 2019 / Accepted: 5 July 2019 / Published: 8 July 2019
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Abstract

After decades of research, X-band marine radars have been broadly used for wind measurement. For retrieving the wind direction based on the wind-induced streaks, a lot of effort has been expended on three celebrated approaches—the local gradient method (LGM), the adaptive reduced method (ARM), and the energy spectrum method (ESM). This paper presents a scientific study of these methods. The contrast of retrieving the real measured marine radar images and vane measured results is evaluated, in perspective of the error statistics and algorithm operation efficiency. Interference factors, such as the historical information of the measured area, reference wind speed, and sea condition showing in the monitoring equipment are also concerned. The tentative results showed that LGM is robust, which can be implemented in most radar images, because it allows for a lower selection of requirements compared with the other two methods. For ARM, the better retrieval performance is a tradeoff with extra computation, which is expensive. ESM is superior to the other two algorithms in terms of accuracy and computation load; however, this algorithm is sensitive in rain-contaminated radar images, meaning it is a good choice for data post-processing in the lab. View Full-Text
Keywords: marine radar; wind direction retrieval; small wind streak; local gradient method; adaptive reduced method; energy spectrum method marine radar; wind direction retrieval; small wind streak; local gradient method; adaptive reduced method; energy spectrum method
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Wang, H.; Qiu, H.; Zhi, P.; Wang, L.; Chen, W.; Akhtar, R.; Zahoor Raja, M.A. Study of Algorithms for Wind Direction Retrieval from X-Band Marine Radar Images. Electronics 2019, 8, 764.

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