多角度热红外亮温值的模型拟合与应用

摘要

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.