期刊文献+

两种BRDF室外测量方法的RGM模拟对比与误差分析 被引量:1

Two Methods of Acquiring BRDF of Object in the Field Simulated with Radiosity-graphics Combined Model and Error Analysis
下载PDF
导出
摘要 目标物的反射特性,无论是在遥感模型还是在遥感反演中都扮演着重要的角色,因此选用正确的自然条件下目标物反射特性的测量方法是遥感定量分析的基础。长期以来在自然条件下(即太阳直射光和天空漫射光同时存在)测量目标物的反射特性时,可以获得BRF(Bidirectional Reflectance Factor)作为目标反射特性的描述,但这样获得的BRF与辐射环境有关。为了消除辐射环境的影响,获得真正能够反映目标物的反射特性的BRDF(Bidirectional Reflectance Distribution Function),前人提出了一些野外测量的方法。本文在此基础上,利用计算机模拟的辐射度(Radiosity)模型在真实场景基础上模拟BRF值,分析测量方法中存在的系统误差受观测条件影响的大小,比较了测量方法的优劣,提出了野外测量时选择测量方法的基本原则。 The bidirectional reflective characteristic of objects plays an important role not only in models of remote sensing but also in inversion.Consequently,it is the basis of quantitative analysis in remote sensing with the appropriate method of acquiring the bidirectional reflective characteristic of objects in natural environment.For a long period,BRF(Bidirectional Reflectance Factor) acquired in natural environment and related to radiant environment,is regarded as the expression of bidirectional reflective characteristic of objects.There are differences which must be considered between BRF and real value except in a strict clear day.In order to eliminate the influence of the environment radiance,some method acquiring BRDF(Bidirectional Reflectance Distribution Function) data of objects in natural environment have been designed.But the error occurred in these method has not been strictly analyzed.In this paper these methods are compared by using radiosity-graphic combined model based on three dimensional structures which is one of computer simulation model.And their fixed error affected by conditions acquiring BRDF data is analyzed in the simulation.We also provide principles to choose the suitable method of acquiring BRDF data in natural environment.By these principles we can take the most suitable method under different conditions in order to reduce the error and get acceptable value from measurement.
出处 《遥感学报》 EI CSCD 北大核心 2008年第4期568-578,共11页 NATIONAL REMOTE SENSING BULLETIN
基金 国家自然科学基金项目(编号:40730525,40671139) 中国科学院知识创新工程重要方向项目(编号:KZCX2-YW-313)
关键词 二向性反射 双向反射率(BRDF) 双向反射率因子(BRF) 辐射度模型 bidirectional reflection BRDF BRF RGM(Radiosity-Graphic combined Model)
  • 相关文献

参考文献12

  • 1[1]Kuusk A.Determination of Vegetation Canopy Parameters from Optical Measurements[J].Remote Sensing of Environment,1991,37:207-218.
  • 2[2]Qi J,Cabot F,Moran M S,et al.Biophysical Parameter Estimations Using Muhidirectional Spectral Measurements[J].Remote Sensing of Environment,1995,54:71-83.
  • 3[3]Verbrugghe M,Cieruiewski J.Effects of Sun and View Geometries on Cotton Bidirectional Reflectance Test of a Geometrical Model[J].Remote Sensing of Environment,1995,54:189-197.
  • 4[4]Zipoli G,Grifoni D.Panicle Contribution to Bidirectional Reflectance Factors of a Wheat Canopy[J].International Journal of Remote Sensing,1994,15:3309-3314.
  • 5[7]Goel N S.Models of Vegetation Canopy Reflectance and Their Use in Estimation of Biophysical Parameters from Reflectance Data[J].Remote Sensing Rev,1998,4:1-212.
  • 6[8]North P R J.Three-Dimensional Forest Light Interaction Model Using a Monte Carlo Method[J].IEEE Transactions on G eoscience and Remote Sensing,1996,34:946-956.
  • 7[9]Borel C C,Siegfried A,Gerstl W,et al.The Radiosity Method in Optical Sensing of Structured 3-D Surfaces[J].Remote Sensing of Environment,1991,36:73-104.
  • 8[10]Goel N S,Rozehnal I,Thompson R L.A Computer Graphics Based Model for Scattering from Objects of Arbitrary Shapes in the Optical Region[J].Remote Sensing of Environment,1991,36:73-104.
  • 9[11]Qin W,Goel N S,Wang B.The Hotspot Effect in Heterogeneous Vegetation Canopies and Performances of Various Hotspot Models[J].Remote Sensing Rev.,1996,14:283-332.
  • 10[12]Qin W,Siegfried A W.3-D Scene Modeling of Semidesert Vegetation Cover and Its Radiation Regime[J].Remote Sensing of Environment,2000,74:145-162.

同被引文献5

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部