多角度热红外亮温值的模型拟合与应用

Kernel-driven model fitting of multi-angle thermal infrared brightness temperature and its application

通过二向性反射率分布函数(BRDF)核驱动模型对黑河试验多角度热红外机载数据的拟合,证明了核驱动模型具有热红外波段的外延能力,确定了适用于多角度热红外数据的最佳核函数组合.在热辐射方向性核系数组合因子与地表温度(LST)构成的特征空间中构建、提取了多角度热红外干旱指数(MTDI).在黑河各试验区,MTDI和温度植被干旱指数(TVDI)的反演结果非常相近(相关系数大于0.87),表明核驱动模型在热红外波段也是分析方向性辐射信息的有效模型.

This paper has proved the data fitting and extrapolating ability of the kernel-driven model in TIR band by simulation of the multi-angle thermal infrared images of Linze grassland acquired in WATER campaign with the model.Additionally,the most suitable kernel-driven model available for multi-angle thermal imagery has been identified.In the feature space of land surface temperature（LST） and a combination of model coefficients which describes the actual surface directional radiative characteristics,a multi-angle thermal infrared dryness index（MTDI） is constructed and extracted out.The correlation coefficient of simulated MTDI and corresponding Temperature-Vegetation Dryness Index（TVDI） is greater than 0.87.It can be inferred that the kernel driven model is also effective in the analysis of directional radiative information in thermal infrared band.