A method for rectifying thermograms in perspective captured at human height is proposed. It applies to the image pixel-by-pixel corrections that account for the surface emissivity, the reflected longwave infrared radiation flux, and the radiation emitted and attenuated by the atmosphere. The results are validated in two steps: first by comparison with contact temperature devices and then by comparison with finite element simulations. They give satisfactory results in both cases.

The method is illustrated on a canyon-type street located in a dense urban area during a winter period of 24 h.

Detailed observation of urban façade surface temperatures opens up new perspectives. Indeed, it allows conclusions to be drawn about the energy behavior of inhabitants by offering a non-intrusive alternative for identifying urban thermal bridges.

Furthermore, the combined use of measurement and simulation facilitates the exploration of the thermal and optical properties of the scene.

This work contributes significantly to the interpretation of urban metering at human height. It provides essential improvements in the evaluation of errors associated with urban surface temperatures retrieved from remote sensing observations.

提出了一种在人体高度捕获的透视图中校正热像图的方法。它适用于解释表面发射率、反射的长波红外辐射通量以及大气发射和衰减的辐射的逐像素校正。结果通过两个步骤进行验证：首先通过与接触温度设备的比较，然后通过与有限元模拟的比较。在这两种情况下，它们都给出了令人满意的结果。

该方法在 24 小时冬季期间位于密集城区的峡谷型街道上进行了说明。

对城市外墙表面温度的详细观察开辟了新的视角。事实上，它通过提供一种用于识别城市热桥的非侵入性替代方案，可以得出关于居民能源行为的结论。

此外，测量和模拟的结合使用有助于探索场景的热和光学特性。

这项工作对解释人类高度的城市计量做出了重大贡献。它在评估与从遥感观测中检索到的城市地表温度相关的误差方面提供了重要的改进。