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农田辐射传输光学遥感成像模拟研究综述
引用本文:杨贵军,柳钦火,杜永明,石月婵,冯海宽,王纪华.农田辐射传输光学遥感成像模拟研究综述[J].北京大学学报(自然科学版),2013,49(3):537.
作者姓名:杨贵军  柳钦火  杜永明  石月婵  冯海宽  王纪华
作者单位:1. 北京农业信息技术研究中心, 北京 100097; 2. 遥感科学国家重点实验室, 中国科学院遥感应用研究所,北京 100101;
基金项目:国家自然科学基金,北京市自然科学基金,国家重点基础研究发展计划,中国科学院遥感应用研究所遥感科学国家重点实验室开放基金
摘    要:首先对光电物理仿真、图像合成法、计算机图形学法及遥感物理模型法等光学遥感成像模拟方法的技术方法和研究进展进行了分析, 其中由于遥感物理模型法较为详细地刻画了真实辐射传输过程, 成为国内遥感成像模拟的主要发展趋势。然后对作物关键参数时空变化分析、农田辐射传输建模及遥感成像模拟系统等方面进行了分析讨论, 表明结合作物全生育期结构、光谱变化特征, 进而建立叶片?土壤?冠层?大气?遥感器成像模拟耦合模型是主要途径, 能够实现农田多维遥感数据模拟, 为农业定量遥感研究与应用提供模拟数据支持。

关 键 词:遥感器  成像模拟  辐射传输  农田信息  
收稿时间:2012-04-19

Review of Optical Remote Sensing Imaging Simulation of Farmland Radiation Transfer Process
YANG Guijun,LIU Qinhuo,DU Yongming,SHI Yuechan,FENG Haikuan,WANG Jihua.Review of Optical Remote Sensing Imaging Simulation of Farmland Radiation Transfer Process[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2013,49(3):537.
Authors:YANG Guijun  LIU Qinhuo  DU Yongming  SHI Yuechan  FENG Haikuan  WANG Jihua
Institution:1. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097; 2. State Key Laboratory of Remote Sensing Science Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing 100101;
Abstract:The major methods of optical remote sensing imaging simulation which including optical physics simulation, image synthesis, computer graphics and remote sensing physical model method were introduced and analyzed. In particular, remote sensing physical model method has become main development trends because it can consider the truth of radiative transfer process. The key problems of cropland information time series simulation, the development of farmland radiative transfer models and remote sensing imaging simulation system were further discussed. The result shows that radiative transfer models of leaf, soil, canopy, atmosphere and sensor are integrated with the field observation information, e.g. canopy structure and spectral, to simulate multi-dimension remote sensing data for application requirements in agriculture quantitative remote sensing.
Keywords:optical remote sensing  imaging simulation  radiative transfer model  cropland information  
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