红边(REP)是绿色植物叶子光谱曲线在680nm～740nm之间变化率最快的点,也是一阶导数光谱在该区间内的拐点。本文总结了红边参数的种类,红边在植物种类的识别、植物时相的识别、植物生物参数估测和植物生长状况监测等方面的应用,并介绍了...红边(REP)是绿色植物叶子光谱曲线在680nm～740nm之间变化率最快的点,也是一阶导数光谱在该区间内的拐点。本文总结了红边参数的种类,红边在植物种类的识别、植物时相的识别、植物生物参数估测和植物生长状况监测等方面的应用,并介绍了红边参数其适用范围和使用方法等,阐述了红边在植被研究中的重要性,分析了植被红边技术的发展方向和应用前景;同时总结了线性内插模型、反高斯模型、拉格朗日模型、多项式模型和有理函数新模型等五种红边定量分析方法及应用,以及它们的适用范围等,并介绍了G.V.G.BARANOS-KI and J.G.ROKNE采用有理函数新模型分析过程以确定红边位置的"新"方法。展开更多
This paper presents simple and fast algorithms for computing very tight upper and lower bounds on the prices of American Asian options in the binomial model.The authors choose two types sets of the actual arithmetic a...This paper presents simple and fast algorithms for computing very tight upper and lower bounds on the prices of American Asian options in the binomial model.The authors choose two types sets of the actual arithmetic average prices,instead of the simulated values in other existing models,as the representative average prices at each node of the binomial tree.This approach simplifies effectively the computation and reduces the error caused by the linear interpolation.Numerical results show that the approach produces accurate upper and lower bounds compared to the other existing methods based on the binomial tree.展开更多
文摘红边(REP)是绿色植物叶子光谱曲线在680nm～740nm之间变化率最快的点,也是一阶导数光谱在该区间内的拐点。本文总结了红边参数的种类,红边在植物种类的识别、植物时相的识别、植物生物参数估测和植物生长状况监测等方面的应用,并介绍了红边参数其适用范围和使用方法等,阐述了红边在植被研究中的重要性,分析了植被红边技术的发展方向和应用前景;同时总结了线性内插模型、反高斯模型、拉格朗日模型、多项式模型和有理函数新模型等五种红边定量分析方法及应用,以及它们的适用范围等,并介绍了G.V.G.BARANOS-KI and J.G.ROKNE采用有理函数新模型分析过程以确定红边位置的"新"方法。
基金partially supported by China Postdoctoral Science Foundation under Grant No.2012M510377National Natural Science Foundation of China under Grant Nos.71373043,71331006,and 71171119+2 种基金the National Social Science Foundation of China under Grant No.11AZD010Program for New Century Excellent Talents in University under Grant No.NCET-10-0337Program for Excellent Talents,UIBE
文摘This paper presents simple and fast algorithms for computing very tight upper and lower bounds on the prices of American Asian options in the binomial model.The authors choose two types sets of the actual arithmetic average prices,instead of the simulated values in other existing models,as the representative average prices at each node of the binomial tree.This approach simplifies effectively the computation and reduces the error caused by the linear interpolation.Numerical results show that the approach produces accurate upper and lower bounds compared to the other existing methods based on the binomial tree.
