红外与毫米波学报, 2012, 31 (6): 556, 网络出版: 2012-12-24   

SAR土壤水分反演中的介电常数实部简化模型

A simplified model of the real part of the soil complex permittivity for soil moisture estimation from SAR image
作者单位
1 中国科学院对地观测与数字地球科学中心, 北京 100094
2 中国科学院研究生院, 北京 100049
摘要
利用Dobson半经验模型建立模拟数据库, 用建立的模拟数据库对Hallikainen关系式进行最小二乘回归, 标定其在SAR关键频点下的系数并进行适当改进, 最终建立了介电常数实部与土壤体积含水量关系的简化模型.对建立的简化模型进行验证和对比, 结果表明, 简化模型在精度上优于Hallikainen经验模型, 并且与复杂的Dobson半经验模型相比, 具有良好的精度和实用性.
Abstract
A simulated database built with the Dobson semi-empirical model was fitted to the Hallikainen formula by the least square regression method. The coefficients at key frequency points of SAR were calibrated with some improvement. The simplified model between the real part of the complex permittivity and the soil volumetric moisture content was established. It was validated and compared with other models. The results show that the simplified model has better accuracy than the Hallikainen empirical model, and also has good accuracy and practicality compared with the complex Dobson semi-empirical model.

曾江源, 李震, 陈权, 毕海芸. SAR土壤水分反演中的介电常数实部简化模型[J]. 红外与毫米波学报, 2012, 31(6): 556. ZENG Jiang-Yuan, LI Zhen, CHEN Quan, BI Hai-Yun. A simplified model of the real part of the soil complex permittivity for soil moisture estimation from SAR image[J]. Journal of Infrared and Millimeter Waves, 2012, 31(6): 556.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!