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Research on retrieval algorithms of ocean surface wind direction from airborne SAR imagery

机译:机载SAR图像海面风向反演算法研究

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Wind direction can be retrieved from SAR imagery because the wind streaks are very well aligned with it. But in airborne SAR imagery, the wave streaks and the wind cut streaks are mixed, which makes the wind retrieval more difficult. To solve this problem, the local-gradient algorithm and the Mexican-hat wavelet algorithm given in this paper were used to retrieve wind directions from airborne SAR imagery. The research was carried out by retrieving with two groups of airborne SAR sounding data. The results show that the local-gradient algorithm and the Mexican-hat wavelet algorithm can be used to retrieve wind direction from airborne SAR imagery, and the latter's retrieval accuracy was better than the former's.
机译:可以从SAR图像中检索风向,因为风斑与风向非常吻合。但是在机载SAR图像中,海浪条纹和风切条纹是混合的,这使得风的获取更加困难。为了解决这个问题,本文给出的局部梯度算法和墨西哥帽小波算法被用于从机载SAR图像中检索风向。该研究是通过检索两组机载SAR探测数据进行的。结果表明,局部梯度算法和墨西哥帽小波算法可用于机载SAR图像的风向反演,后者的反演精度优于前者。

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