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Parameters Extraction of Crop Based on PolSAR Data

机译:基于PolSAR数据的作物参数提取。

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摘要

It is beneficial to extract the parameters of the objects by rich information of PolSAR (Polarimetric Synthetic Aperture Radar) data. With polSAR data of Radarsat-2, the polarimetric character of winter wheat in booting and milk stage is studied based on polarization theory. The results show that: there is a great difference between the polarimetric characters of two stages due to the change of wheat structure. Winter wheat growth can be retrieved by entropy, which changes in different way in the two stages. In booting stage, with LAI increasing, the scattering mechanism tends to be more complex. While in milk stage, with plant density increasing, the scattering mechanism tends to be simpler. The eigenvalue of λ2 is a valuable parameter to retrieve soil moisture with crop cover. Results show the potential advantage of polarimetric radar.
机译:通过丰富的PolSAR(测光合成孔径雷达)数据信息来提取对象的参数是有益的。利用Radarsat-2的polSAR数据,基于极化理论研究了冬小麦孕穗期和乳期的极化特性。结果表明:由于小麦结构的变化,两个阶段的极化特性存在很大差异。冬小麦的生长可以通过熵来恢复,熵在两个阶段以不同的方式变化。在启动阶段,随着LAI的增加,散射机制趋于更加复杂。在牛奶阶段,随着植物密度的增加,散射机理趋于简单。 λ2的特征值是利用作物覆盖来获取土壤水分的重要参数。结果显示了极化雷达的潜在优势。

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