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Fusion of thermal and visible point clouds : Application to the Vaches Noires landslide, Normandy, France

Abstract : In this paper, we present a methodology to fusion 3D visible and thermal infrared (TIR) information on a coastal landslide area located in Normandy, France. A reflex and TIR camera on-board an Unmanned Aerial Vehicle are utilized to generate a 3D visible and a thermal model using Photogrammetry. A Python-written algorithm is then used to associate the thermal scalar on the TIR model to the closest point on the visible point cloud, before applying α-blending to ease the visualization of both data sets. This methodology leads to the generation of an integrated 3D thermo-visible model, allowing the direct analysis of the surface temperatures, visible data and geometric configuration of the landslide.
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https://hal.archives-ouvertes.fr/hal-02864255
Contributor : Raphael Antoine <>
Submitted on : Friday, July 17, 2020 - 3:16:25 PM
Last modification on : Tuesday, October 20, 2020 - 10:49:30 AM
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  • HAL Id : hal-02864255, version 1

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Vincent Guilbert, Raphaël Antoine, Christophe Heinkele, Olivier Maquaire, Stéphane Costa, et al.. Fusion of thermal and visible point clouds : Application to the Vaches Noires landslide, Normandy, France. 2020. ⟨hal-02864255⟩

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