%0 Journal Article
%T The Study of Retrieving Surface Parameters Based on Genetic Algorithm and Backscattering Models<br>基于遗传算法和雷达后向散射模型的地表参数反演研究
%A PANG Zi-zhen
%A LIAO Jing-juan
%A <br>庞自振
%A 廖静娟
%J 遥感技术与应用
%D 2008
%I 
%X The research of retrieving surface roughness and soil moisture under natural bare soils using SAR data has been refined over the last few years; Researchers have proposed lots of backscattering models and inverting techniques.Based on the backscattering models proposed,this paper established a database including surface parameters and backscattering coefficients as well as the surface parameters using genetic algorithm,backscattering coefficients in the database and the surface parameters; Then,the surface parameters were inverted using SIR-C SAR image based on AIEM and Oh models,respectively,and results were analyzed statistically.Therefore,the algorithm above supplies new idea for retrieving surface parameters using radar images.
%K Radar backscattering coefficientszz
%K AIEMzz
%K Oh modelzz
%K Genetic algorithmzz
%K Parameter inversionzz<br>雷达后向散射系数
%K IEM模型
%K Oh模型
%K 遗传算法
%K 参数反演
%K 基于遗传算法
%K 雷达后向散射模型
%K 地表参数
%K 反演研究
%K Models
%K Backscattering
%K Genetic
%K Algorithm
%K Based
%K Parameters
%K Surface
%K 信息提供
%K 图像反演
%K 统计分析
%K 结果
%K 反演计算
%K 雷达图像
%K AIEM
%K 验证
%K 反演效果
%K 反演技术
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=6F56B81324C1B239DA82AE08A4344F0C&aid=F6F91B47FC66B3BDF516F400102FE5A4&yid=67289AFF6305E306&vid=EA389574707BDED3&iid=0B39A22176CE99FB&sid=B47A0E731AF43EB2&eid=A8DE7703CC9E390F&journal_id=1004-0323&journal_name=遥感技术与应用&referenced_num=0&reference_num=21