Three-dimensional thermal mapping from aerial images can be used in energy audits. Tie points that define the location of object points in a 3D space for reconstructing a 3D model, also include thermal information, which plays an important role in energy audits. However, it is often harder and less accurate to extract common features and determine tie points from low-resolution thermal images. It is more effective and accurate to use high-definition RGB images to determine tie points and fuse the RGB and thermal information. In this study, we investigate how to utilize high-definition RGB images that allow for more accurate tie point detection, how different flight configurations affect tie point data fusion, and how tie point data fusion performance can be improved. We propose a tie points' thermal and RGB data-fusion framework to create district-level thermal mapping to solve such problems. This paper aims to evaluate how different flight configurations affect the results of the proposed data fusion approach. Flight configurations include different camera altitudes (60 m and 35 m), distinct camera angles (45 degrees and 30 degrees), diverse flight path designs (mesh grid and Y path), and various building styles (campus buildings and city buildings).

We find the following results in this paper: (1) higher flight altitude is not suggested for our data fusion approach; (2) a 30-degree thermal camera angle is suggested for roof inspection, while a 45-degree thermal camera angle is suggested for façade inspection when using the tie point data fusion approach; (3) a Y flight path performs better than a mesh grid path; and (4) our tie point data fusion approach performs better in traditional European city buildings than in modern campus buildings. We also demonstrate that pixels in the thermal images' central area can more accurately represent thermal information than pixels around the image edges for tie point data fusion. Additionally, our studies show that images taken at the edges of mapping areas have more errors. Thus, it is crucial to enlarge the survey area to obtain more accurate possible results.

航空影像中的三维热图可用于能源审计。系点定义了3D空间中用于重建3D模型的对象点的位置，还包括热信息，这些信息在能源审核中起着重要作用。但是，从低分辨率的热图像中提取共同特征并确定联系点通常更加困难且准确性较低。使用高清RGB图像确定联系点并将RGB和热信息融合在一起，会更加有效和准确。在本研究中，我们研究如何利用高清RGB图像来实现更精确的联络点检测，不同的飞行配置如何影响联络点数据融合以及如何改善联络点数据融合性能。我们提出一个领带点 Thermal和RGB数据融合框架可创建区域级的热贴图来解决此类问题。本文旨在评估不同的飞行配置如何影响所提出的数据融合方法的结果。飞行配置包括不同的相机高度（60 m和35 m），不同的相机角度（45度和30度），不同的飞行路径设计（网格和Y形路径）以及各种建筑风格（校园建筑和城市建筑）。

我们在本文中发现以下结果：（1）我们的数据融合方法不建议较高的飞行高度；（2）当使用联络点数据融合方法时，建议将30度热像仪角度用于屋顶检查，而建议将45度热像仪角度用于外墙检查；（3）Y飞行路径的性能优于网格网格路径；（4）我们的联络点数据融合方法在传统的欧洲城市建筑中比在现代校园建筑中表现更好。我们还证明，对于联络点数据融合，热图像中心区域中的像素比图像边缘周围的像素可以更准确地表示热信息。此外，我们的研究表明，在地图区域边缘拍摄的图像有更多误差。从而，