PHOTOGRAMMETRIC 3D BUILDING RECONSTRUCTION FROM THERMAL IMAGES
This paper addresses the problem of 3D building reconstruction from thermal infrared (TIR) images. We show that a commercial Computer Vision software can be used to automatically orient sequences of TIR images taken from an Unmanned Aerial Vehicle (UAV) and to generate 3D point clouds, without req...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-08-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W3/25/2017/isprs-annals-IV-2-W3-25-2017.pdf |
| Summary: | This paper addresses the problem of 3D building reconstruction from thermal infrared (TIR) images. We show that a commercial
Computer Vision software can be used to automatically orient sequences of TIR images taken from an Unmanned Aerial Vehicle
(UAV) and to generate 3D point clouds, without requiring any GNSS/INS data about position and attitude of the images nor camera
calibration parameters. Moreover, we propose a procedure based on Iterative Closest Point (ICP) algorithm to create a model that
combines high resolution and geometric accuracy of RGB images with the thermal information deriving from TIR images. The process
can be carried out entirely by the aforesaid software in a simple and efficient way. |
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| ISSN: | 2194-9042 2194-9050 |