红外与激光工程, 2018, 47 (1): 0117001, 网络出版: 2018-01-30  

基于偏振信息反演土壤湿度的方法

Retrieval method of soil moisture based on polarized information
作者单位
北京航空航天大学 仪器科学与光电工程学院, 北京 100191
摘要
为了实现基于偏振信息反演土壤湿度的目的, 建立了土壤表面的偏振反射模型, 并在可见光波段内开展了土壤湿度与反射光偏振信息的实验研究。首先, 根据几何光学理论和测量数据建立了土壤表面的偏振反射模型。其次, 制备了不同湿度的土壤样品, 搭建了实验平台, 并在多种入射观测条件下, 使用高精度偏振成像探测系统获取了样品的偏振信息。然后, 对实验数据进行分析来验证模型。最后, 建立了模型中微面元坡度均方差、漫反射等效系数和折射率三个参数与土壤湿度的定量关系, 利用定量关系来反演土壤湿度, 并在476 nm波段上, 对湿度为26.0%的土壤样品进行室内偏振探测实验。结果表明: 根据文中反演方法得出土壤湿度为24.73%, 误差为4.88%, 证实了文中所提出的土壤湿度反演方法的正确性和可行性。
Abstract
For the sake of retrieving soil moisture by the polarized information, a polarized reflection model of soil surface was established, and an experimental study of soil moisture and reflected light′s polarized information was carried out in the visible wavebands. Firstly, the polarized reflection model of soil surface was established based on the geometrical optics theory and the measured data. Secondly, the soil samples of different moisture contents were made, the experimental platform was set up, the soil samples polarized information were obtained by a polarized imaging detection system with high precision in a variety of incident and observation conditions, the model was verified by analyzing the experimental data. Finally, a quantitative relationship among the micro-surface slope variance, the diffuse reflection coefficient, the equivalent refractive index and the soil moisture was established in the model and the soil moisture was retrieved according to the quantitative relationship. The research results show that: on 476 nm, the polarized information of a soil sample with a moisture content of 26% is measured by a polarized imaging detection system in the indoor environment, the soil moisture is calculated as 24.73% according to the proposed retrieval method in an error of 4.88%. Therefore, it is proved that the proposed method of retrieving soil moisture by the polarized information is correct and feasible.

张颖, 余焱强, 赵慧洁, 宣佳彬. 基于偏振信息反演土壤湿度的方法[J]. 红外与激光工程, 2018, 47(1): 0117001. Zhang Ying, Yu Yanqiang, Zhao Huijie, Xuan Jiabin. Retrieval method of soil moisture based on polarized information[J]. Infrared and Laser Engineering, 2018, 47(1): 0117001.

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