Research on ocean surface wind ambiguity removal algorithm for seawinds scatterometer Seawinds散射計海面風場模糊去除方法研究
We introduce a modified model approach to estimate the unique synoptic oceanic wind field from backscatter of spaceborne scatterometer 給出了一種改進的場方式反演方法,利用該方法從衛(wèi)星散射計測量的后向散射強度的數(shù)據(jù)中唯一反演出大尺度海洋風場。
It is demonstrated very successfully that the simulated or real scatterometer data with the modified model estimation has been retrieved in this paper 從結(jié)果可以看到,所采用的改進的場方式反演方法對模擬數(shù)據(jù)或真實散射計探測海面風場的反演是成功的。
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對seawinds散射計數(shù)據(jù)反演得出的風矢量,一般存在24個模糊解,故需采用圓中數(shù)濾波法進行模糊去除。
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 由于衛(wèi)星散射計探視雷達回波的各向異性的雙調(diào)和性質(zhì),同時由于散射物理模型函數(shù)的非線性及信號中存在噪聲,使得常規(guī)點方式風場反演中風向有多至4個解的多解存在。