Evaluation of terrestrial photogrammetric point clouds derived from thermal imagery

Jeremy P. Metcalf; Richard C. Olsen

doi:10.1117/12.2224406

11 May 2016 Evaluation of terrestrial photogrammetric point clouds derived from thermal imagery

Jeremy P. Metcalf, Richard C. Olsen

Proceedings Volume 9861, Thermosense: Thermal Infrared Applications XXXVIII; 986119 (2016) https://doi.org/10.1117/12.2224406
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

Computer vision and photogrammetric techniques have been widely applied to digital imagery producing high density 3D point clouds. Using thermal imagery as input, the same techniques can be applied to infrared data to produce point clouds in 3D space, providing surface temperature information. The work presented here is an evaluation of the accuracy of 3D reconstruction of point clouds produced using thermal imagery. An urban scene was imaged over an area at the Naval Postgraduate School, Monterey, CA, viewing from above as with an airborne system. Terrestrial thermal and RGB imagery were collected from a rooftop overlooking the site using a FLIR SC8200 MWIR camera and a Canon T1i DSLR. In order to spatially align each dataset, ground control points were placed throughout the study area using Trimble R10 GNSS receivers operating in RTK mode. Each image dataset is processed to produce a dense point cloud for 3D evaluation.

Citation Download Citation

Jeremy P. Metcalf and Richard C. Olsen "Evaluation of terrestrial photogrammetric point clouds derived from thermal imagery", Proc. SPIE 9861, Thermosense: Thermal Infrared Applications XXXVIII, 986119 (11 May 2016); https://doi.org/10.1117/12.2224406

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KEYWORDS

Clouds

Thermography

3D image processing

Cameras

LIDAR

Image processing

Satellite navigation systems

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