| Improvement of thermal 3D models by integration of visible imagery |
| Paper ID : 1336-SMPR |
| Authors: |
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Farzaneh Dadras Javan, Mohammad Savadkouhi * Department of Surveying and Geomatics Engineering, University College of Engineering, University of Tehran, Tehran, Iran |
| Abstract: |
| In the last few years, Unmanned Aerial Vehicles (UAVs) are being frequently used to acquire resolution images and consequently producing Digital Surface Models (DSMs) and orthophotos in a photogrammetric procedure for topography and surface processing applications. Thermal imaging sensors are mostly used for interpretation and monitoring purposes because of low geometric resolution of them. But yet, thermal mapping is getting more important in civil applications, as thermal sensors can be used in condition that visible sensors cannot, such as foggy weather and night times which is not possible for visible cameras. But, low geometric quality and resolution of thermal images is a main drawback that 3D thermal modelling encounters. This study aims to offer a solution in order to fix mentioned problem and generate a thermal 3D model with high spatial resolution by thermal and visible point clouds integration. This integration leads to generate a more accurate thermal point cloud and DEM with more density and resolution which is appropriate for 3D thermal modelling. The main steps of this study are: generating thermal and RGB point clouds separately, registration of them in two course and fine level and finally adding thermal information to RGB high resolution point cloud by interpolation concept. Experiments result in a mesh that has more faces (With a factor of 23) which leads to a higher resolution textured mesh with thermal information. |
| Keywords: |
| UAV Photogrammetry, Thermal Imagery, Point Cloud Integration, Key frame Selection, Thermal Camera Calibration, Textured Mesh |
| Status : Conditional Accept (Poster) |
