王明常, 应申, 任福, 陈圣波, 张旭晴, 王凤艳, 牛雪峰. 基于稳健估计的白桦叶片铜元素含量反演[J]. 武汉大学学报 ( 信息科学版), 2017, 42(5): 637-642. DOI: 10.13203/j.whugis20140721
引用本文: 王明常, 应申, 任福, 陈圣波, 张旭晴, 王凤艳, 牛雪峰. 基于稳健估计的白桦叶片铜元素含量反演[J]. 武汉大学学报 ( 信息科学版), 2017, 42(5): 637-642. DOI: 10.13203/j.whugis20140721
WANG Mingchang, YING Shen, REN Fu, CHEN Shengbo, ZHANG Xuqing, WANG Fengyan, NIU Xuefeng. Inversion Model for the Copper Element in Birch Leaves Based on Robust Estimation[J]. Geomatics and Information Science of Wuhan University, 2017, 42(5): 637-642. DOI: 10.13203/j.whugis20140721
Citation: WANG Mingchang, YING Shen, REN Fu, CHEN Shengbo, ZHANG Xuqing, WANG Fengyan, NIU Xuefeng. Inversion Model for the Copper Element in Birch Leaves Based on Robust Estimation[J]. Geomatics and Information Science of Wuhan University, 2017, 42(5): 637-642. DOI: 10.13203/j.whugis20140721

基于稳健估计的白桦叶片铜元素含量反演

Inversion Model for the Copper Element in Birch Leaves Based on Robust Estimation

  • 摘要: 根据阔叶叶片模型(a model of leaf optical properties spectra,PROSPECT)叶片辐射传输模型机理,利用一次范数稳健估计估算叶片结构参数N和铜元素的吸收系数kCu。选取黑龙江呼玛地区作为研究区,利用美国ASD公司的FieldSpec 3 Hi-Res光谱仪野外测定白桦叶片的反射光谱,实验室测定相应叶片的铜含量,利用改进的PROSPECT-Cu模型进行白桦叶片铜元素含量反演。通过与野外样品测定值和反演值进行比较分析,决定系数为0.963。研究结果表明,反演结果得到的叶片Cu含量是准确的,反演方法是可行的。

     

    Abstract: Based on the leaf radiative transfer model PROSPECT, the leaf structure parameters N and the absorption coefficient of copper kCu of copper element were estimated by use of the first order norm robust estimation. We chose the DuoBaoShan and Huma region of HeiLongJiang province as the study area, where the reflective spectra of birch leaves were determined using ASD FieldSpec 3 Hi-Res, and the component copper contents were measured in the laboratory. Then, the copper contents of Birch leaves were stimulated using the improved PROSPECT-Cumodel.The determination coefficient was 0.963 obtained by analyzing the simulated copper component and the measured component contents of Birch leaves. The study showed the stimulated results for copper component contents were accurate and the inversion method was feasible. The reflectance of leaves stressed by heavy mental were analysed with the PROSPECT Model, showing that errors had expanded, so the model was further developed, an advanced version-PROSPECT-Cu, inverts the copper content inside the leaf with the robust estimation method.

     

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