| 基于偏差原则和正则化方法反演晴空地表BRDF和反照率 |
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| 引用本文： | 崔生成,杨世植,乔延利,赵强. 基于偏差原则和正则化方法反演晴空地表BRDF和反照率[J]. 武汉大学学报(信息科学版), 2011, 0(4): 498-503 |
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| 作者姓名： | 崔生成 杨世植 乔延利 赵强 |
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| 作者单位： | 中国科学院安徽光学精密机械研究所光学遥感中心;中国科学院通用光学定标与表征技术重点实验室 |
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| 基金项目： | 国家自然科学基金资助项目(40571106);中国科学院信息化资助项目(INFO-115-C01-SDB4-27);中国科学院知识创新工程青年人才领域前沿资助项目(083RC11125) |
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| 摘 要： | 提出一种反演晴空地表反照率快速稳健的新算法——混合算法。该方法首先利用双参数模型函数确定正则参数的初始值,然后由基于Morozov偏差原则的高阶收敛算法确定正则参数,继而通过Tikhonov正则化手段来反演BRDF模型。从POLDER-3/PARASOL BRDF数据库中任意挑选不同覆盖的地表像元测量数据,与MODIS全反演法结果作比较,对比较结果给予了讨论;最后选择天津市地区的卫星图像进行反演实验,并就反演结果给出了误差分析和算法模型的评价。
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| 关 键 词： | 混合算法 双参数模型函数 偏差原则 正则化 地表反照率 反演 |
Retrieval of Clear-sky Land Surface BRDF and Albedo Based on Discrepancy Principle and Regularization Method |
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| CUI Shengcheng,YANG Shizhi,QIAO Yanli,ZHAO Qiang. Retrieval of Clear-sky Land Surface BRDF and Albedo Based on Discrepancy Principle and Regularization Method[J]. Geomatics and Information Science of Wuhan University, 2011, 0(4): 498-503 |
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| Authors: | CUI Shengcheng YANG Shizhi QIAO Yanli ZHAO Qiang |
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| Affiliation: | 1,2(1 Center of Optical Remote Sensing,Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences, P.O.Box 1125,Hefei 230031,China)(2 Key Laboratory of Optical Calibration and Characterization,Chinese Academy of Sciences,P.O.Box 1125,Hefei 230031,China) |
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| Abstract: | A fast and robust novel algorithm is presented to retrieve land surface albedo over clear-sky areas,which is called hybrid algorithm.In this method,the initial guess value of regularization parameter was obtained by using the two parameter model function and then defined by a high order convergence algorithm.And the inversion of the kernel-driven BRDF model was implemented by Tikhonov regularization techniques.Measured data of surface targets with different cover types were chosen from POLDER-3/PARASOL BRDF datasets and then retrieved by the proposed algorithm.Comparison of results via the proposed method with that by MODIS full inversion was analyzed and discussed.At last,the retrieval experiments with MODIS satellite images over the regions of Tianjin were carried out,both error analysis and the evaluation of selected model and algorithm based on the retrieval results were also presented. |
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| Keywords: | hybrid algorithm two-parameter model function discrepancy principle regularization land surface albedo inverse |
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