论文标题
从高空间分辨率的空中热图像估算建筑屋顶温度
Estimation of Building Rooftop Temperature from High Spatial Resolution Aerial Thermal Images
论文作者
论文摘要
这封信提出了一种新型技术，可以计算高空间分辨率空中热图像的建筑屋顶和其他不透水表面的温度。在这项研究中，我们使用Flir Phoenix成像仪在美国锡达瀑布市的长波和中波红外波长中收集了30厘米空间分辨率的空中辐射图像，以估算建筑物屋顶温度损失。使用9 Fluke 561R红外温度计在预选的地面目标和屋顶上同时进行地面温度测量。通过经验线校准（ELC）方法进行空中图像的大气校正。对不同屋顶类型的发射率进行了校正所得的地面辐射，并计算了建筑物屋顶的真正动力学温度。观察到ELC模型仅将不透水的表面靶标用于回归时的性能更好。对于ELC的R2 = 0.71，该方法的沥青屋顶产生了均方根误差为0.74°C。此外，我们观察到小气候在同步空中和地面测量时起着重要作用。
This letter presents a novel technique to calculate temperatures of building rooftops and other impervious surfaces from high spatial resolution aerial thermal images. In this study, we collected aerial radiance images of 30cm spatial resolution using a FLIR Phoenix imager in long-wave and mid-wave infrared wavelengths for the city of Cedar Falls, USA to estimate building roof temperature loss. Simultaneous ground temperature measurements were made at pre-selected ground targets and roofs using 9 Fluke 561r infrared thermometers. Atmospheric correction of aerial images was performed by Empirical Line Calibration (ELC) method. The resulting ground-leaving radiances were corrected for the emissivity of different roof types and the true kinetic temperature of the building roofs was calculated. The ELC model was observed to perform better when only impervious surface targets were used for the regression. With an R2=0.71 for ELC, the method produced a root mean squared error of 0.74°C for asphalt roofs. Further, we observed that the microclimate plays a significant role while synchronizing aerial and ground measurements.
