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Rice Monitoring Using Touzi Decomposition Based on Polarimetric SAR Data in Southwestern China

机译:基于极化SAR数据的透子分解水稻监测

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Rice is one of the three largest food grains in the world, providing food for more than one third of globe population. Researches on rice monitoring are of great significance and attract more attention of radar remote sensing communities. In this study, the Touzi target decomposition was investigated for rice monitoring. The results showed that the parameters of Touzi decomposition were sensitive to rice fields, especially the dominant symmetric scattering type amplitude. In addition, the dominant symmetric scattering type phase was the most sensitive to rice growth change and was very promising for rice monitoring.
机译:稻米是世界上三种最大的粮食之一,为全球三分之一以上的人口提供粮食。水稻监测研究具有重要意义,并引起雷达遥感界的更多关注。在这项研究中,对Touzi目标分解进行了研究,以进行水稻监测。结果表明,头子分解参数对稻田敏感,尤其是显性对称散射型振幅。此外,显性对称散射型相对水稻的生长变化最敏感,对水稻的监测非常有前途。

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