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摘要： 二向性反射是自然界中物体表面反射的基本现象。为研究地表的二向性反射特征，国内外学者发展了一系列BRDF模型，其中，半经验、线性、核驱动的BRDF模型已被广泛应用。目前，我们已发布基于线性核驱动模型的可视化界面MaKeMAT。为进一步便于这些模型的应用，本研究将用户常用的物理BRDF模型与线性核驱动BRDF模型进一步集成，在原模型功能的基础上，加强了模型与用户的交互，实现了多个模型的统一调用。同时，初步分析了部分物理BRDF模型与线性核驱动BRDF模型的耦合效果。结果表明：物理BRDF模型与线性核驱动BRDF模型总体耦合精度较高，在红和近红外波段，决定系数R2可达0.899~0.989。该集成有助于用户进行BRDF的研究与应用示范，在遥感模型集成的技术层面上，也可为实现多模型集成提供技术参考。  关键词： MaKeMAT;  BRDF;  模型集成;  线性核驱动BRDF模型;  PROSAIL;  5-SCALE;  ')" href="#">ACRM     Abstract: Anisotropic reflectance is the intrinsic characteristic of an object surface.over the past few decades，various BRDF models have been developed for investigating the relationship between the vegetation canopy and reflectance anisotropy.This helps to retrieve biophysical parameters from the anisotropic reflectance patterns of vegetation canopy.In this study，for the purpose of assisting potential users to use these models，and to improve the understanding of the BRDF modeling，several BRDF models that are widely used in the remote sensing community have been integrated with the current version of the MaKeMAT (Multi\|angular Kernel\|driven Model Analysis Tool)，based on the Interactive Data Language (IDL).This work retains all functions of the current version of the MaKeMAT model，meanwhile，adds some new functions by integrating these physical BRDF models.Undoubtedly，this work facilitates the potential users to process BRDF data and make further analysis in their work by operating a simpler visual interface.This helps to build a rapid communication between the kernel\|driven BRDF models and the physical BRDF models.Our initial results show that this model\|integration practice is a valuable reference for potential users to devise a similar technique.Our case study in coupling these physical BRDF models with the kernel\|driven models present a high correlation between them，with the determination of coefficients (R2) reaching 0.899~0.989 in the red and NIR bands.

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