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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >FUSION OF THERMAL AND VISIBLE POINT CLOUDS : APPLICATION TO THE VACHES NOIRES LANDSLIDE, NORMANDY, FRANCE
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FUSION OF THERMAL AND VISIBLE POINT CLOUDS : APPLICATION TO THE VACHES NOIRES LANDSLIDE, NORMANDY, FRANCE

机译:热和可见点云的融合:应用于Vaches Noires Landslide,Normandy,法国

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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.
机译:在本文中,我们向法国诺曼底的沿海滑坡地区提供了一种融合3D可见和热红外(TIR)信息的方法。在板上的反射和Tir摄像机无人驾驶空中车辆使用摄影测量产生3D可见和热模型。然后,在应用α - 混合之前,使用Python写入算法将TIR模型上的热标量与可见点云上的最接近点相关联,以便于缓解两个数据集的可视化。该方法导致了一代集成的3D热敏可见模型,允许直接分析表面温度,可见数据和滑坡的几何配置。

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