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Thermal Airborne Optical Sectioning

Institute of Computer Graphics, Johannes Kepler University Linz, 4040 Linz, Austria
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Remote Sens. 2019, 11(14), 1668; https://doi.org/10.3390/rs11141668
Received: 4 June 2019 / Revised: 26 June 2019 / Accepted: 12 July 2019 / Published: 13 July 2019
(This article belongs to the Special Issue Multispectral Image Acquisition, Processing and Analysis)
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Abstract

We apply a multi-spectral (RGB and thermal) camera drone for synthetic aperture imaging to computationally remove occluding vegetation for revealing hidden objects, as required in archeology, search-and-rescue, animal inspection, and border control applications. The radiated heat signal of strongly occluded targets, such as a human bodies hidden in dense shrub, can be made visible by integrating multiple thermal recordings from slightly different perspectives, while being entirely invisible in RGB recordings or unidentifiable in single thermal images. We collect bits of heat radiation through the occluder volume over a wide synthetic aperture range and computationally combine them to a clear image. This requires precise estimation of the drone’s position and orientation for each capturing pose, which is supported by applying computer vision algorithms on the high resolution RGB images. View Full-Text
Keywords: synthetic apertures; light fields; drones; occlusion removal; thermal imaging; computational imaging synthetic apertures; light fields; drones; occlusion removal; thermal imaging; computational imaging
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Kurmi, I.; Schedl, D.C.; Bimber, O. Thermal Airborne Optical Sectioning. Remote Sens. 2019, 11, 1668.

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