When the remote sensing pixel is composed of multiple components and a non-isothermal surface, its directional signature of thermal-infrared radiation is mainly determined by the 3D structure of the pixel. In this pap...When the remote sensing pixel is composed of multiple components and a non-isothermal surface, its directional signature of thermal-infrared radiation is mainly determined by the 3D structure of the pixel. In this paper, we present our simple directional thermal radiation model to describe the relation between the pixel thermal emission and the pixel’s component parameters, and invert the model to get the component temperatures. For the inversion algorithm, we focus on how to use the information of given observations in a more effective way. The information content in data space and parameter space is defined, and the transferring of information content in inversion procedure is studied. Our forward model and inversion method are validated using indoor directional measurement data.展开更多
文摘为了给热辐射方向性研究提供准确的组分温度分布和方向亮温数据,提出了一种新的基于热像仪的实用测量方法.该算法包括2个部分:1)采用“热像仪-定面积法”的改进方法“虚拟圈”结合“交叉点法”自动提取植被冠层方向亮度温度,并进行时间效应纠正;2)在假设发射率已知的条件下,利用“开放度”的概念去除多次散射和天空下行辐射的影响,给出更精确的组分温度分布信息.采用2006年4月20日北京小汤山小麦地的测量数据进行了初步分析.获取的方向亮温可以较好地反映地表热辐射方向性规律,热动力学温度提取误差均值小于1 K.
文摘When the remote sensing pixel is composed of multiple components and a non-isothermal surface, its directional signature of thermal-infrared radiation is mainly determined by the 3D structure of the pixel. In this paper, we present our simple directional thermal radiation model to describe the relation between the pixel thermal emission and the pixel’s component parameters, and invert the model to get the component temperatures. For the inversion algorithm, we focus on how to use the information of given observations in a more effective way. The information content in data space and parameter space is defined, and the transferring of information content in inversion procedure is studied. Our forward model and inversion method are validated using indoor directional measurement data.
