机译:水箱研究中高光谱光学-蒙特卡罗遥感模型的评价。
Vijay Garg, Graduate Student, Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, Arkansas (currently Chief Scientific Officer, Carbonyx, Inc., Plano, Texas);
Indrajeet Chaubey, ASABE Member, Associate Professor, Department of Agricultural and Biological Engineering and Department of Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana;
and Surendra Singh, Professor, Department of Physics, University of Arkansas, Fayetteville, Arkansas. Corresponding author: Indrajeet Chaubey, Department of Agricultural and Biological Engineering and Department of Earth and Atmospheric Sciences, 225 S. University St., Purdue University, West Lafayette, IN 47907;
Hyperspectral model; Monte Carlo simulation; Physical hyperspectral-Monte Carlo model; Remote sensing;
机译:在水箱研究中评估高光谱光学-蒙特卡洛遥感模型。
机译:使用光学快速高光谱仪对光学复杂水域的定量遥感的预期改进-建模研究
机译:激光雷达海水光学特性的遥感实验与蒙特卡洛模拟
机译:基于网格的海岸水质算法蒙特卡洛高光谱合成图像遥感模型(GRID-MCHSIM)
机译:使用具有水表面坡度的耦合蒙特卡罗光学模型,生成浅水区的高光谱合成图像。
机译:使用光学快速高光谱仪对光学复杂水域的定量遥感的预期改进-建模研究
机译:用于沿海水质算法的网格化蒙特卡罗高光谱合成图像遥感模型(GRID-mCHsIm)
机译:淹水水生植被对光浅水中辐射传输和高光谱遥感的影响:CoBOp数据的持续分析。