Research on ocean surface wind ambiguity removal algorithm for seawinds scatterometer Seawinds散射计海面风场模糊去除方法研究
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We introduce a modified model approach to estimate the unique synoptic oceanic wind field from backscatter of spaceborne scatterometer 给出了一种改进的场方式反演方法,利用该方法从卫星散射计测量的后向散射强度的数据中唯一反演出大尺度海洋风场。
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It is demonstrated very successfully that the simulated or real scatterometer data with the modified model estimation has been retrieved in this paper 从结果可以看到,所采用的改进的场方式反演方法对模拟数据或真实散射计探测海面风场的反演是成功的。
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The maximum likelihood estimation algorithm for seawinds scatterometer wind vector retrieval generates 2 4 wind vector ambiguities , so a circle median filter is needed to perform the ambiguity removal 利用最大似然法mle对seawinds散射计数据反演得出的风矢量，一般存在24个模糊解，故需采用圆中数滤波法进行模糊去除。
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Owing to the anisotropic and the biharmonic nature of microwave radar backscatter on spaceborne scatterometer , and to the scatter model function nolinear and the existence of various noise sources in the measurements in addition to the model function , the retrieval wind results consist of as many as four wind directions 由于卫星散射计探视雷达回波的各向异性的双调和性质,同时由于散射物理模型函数的非线性及信号中存在噪声,使得常规点方式风场反演中风向有多至4个解的多解存在。
