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基于最小二乘支持向量机回归的背景偏振光谱二向反射分布建模分析
引用本文:赵永强,柳丹,陈超,程咏梅.基于最小二乘支持向量机回归的背景偏振光谱二向反射分布建模分析[J].光子学报,2014,40(10):1494-1499.
作者姓名:赵永强  柳丹  陈超  程咏梅
作者单位:(西北工业大学 自动化学院,西安 710072)
基金项目:国家自然科学基金(No.61071172,No.60602056,No.60634030)、航空科学基金(No.20105153022)和西北工业大学基础研究基金(No.JC200941)资助
摘    要:详细分析了土壤背景偏振光谱二向反射分布函数与探测角及探测方位角之间关系.提出了基于最小二乘支持向量机回归的偏振光谱二向反射分布函数建模,将有限实验观测条件下测量得到的少数偏振光谱二向反射分布函数扩展到2π空间范围内任意入射及观测条件.通过模型结果和实验结果分析比较,表明该模型能很好地满足准确度要求.

关 键 词:   偏振光谱二向反射分布函数  探测几何条件  LS-SVM回归
收稿时间:2010-11-09

Spectropolarimetric Bidirectional Reflectance Distribution Modeling for Background Based on LS-SVM Regression
ZHAO Yong-qiang,LIU Dan,CHEN Chao,CHENG Yong-mei.Spectropolarimetric Bidirectional Reflectance Distribution Modeling for Background Based on LS-SVM Regression[J].Acta Photonica Sinica,2014,40(10):1494-1499.
Authors:ZHAO Yong-qiang  LIU Dan  CHEN Chao  CHENG Yong-mei
Institution:(College of Automation,Northwestern Polytechnical University,Xi′an 710072,China)
Abstract:Relationship between detection geometry and spectropolarimetric bidirectional reflectance distribution function for soil background was analyzed in detail.The modeling of spectropolarimetric bidirectional reflectance distribution function was proposed based on LS-SVM,aiming to extend the value of measured spectropolarimetric bidirectional reflectance distribution function with limited geometry to whole hemi-sphere space.Results show that the predicted value and experimental value are close and meet the need of correction.
Keywords:Spectropolarimetric bidirectional reflectance distribution function  Detection geometry  LS-SVM Regression
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