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Unmanned Aerial Vehicle (UAV) Remote Sensing for Hyperspatial Terrain Mapping of Antarctic Moss Beds based on Structure from Motion (SfM) point clouds

机译:无人驾驶飞行器(UAV)基于运动(SFM)点云结构的南极苔藓床的超缺口地形映射遥感

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This study is the first to use an Unmanned Aerial Vehicle (UAV) for mapping moss beds in Antarctica. Mosses can be used as indicators for the regional effects of climate change. Mapping and monitoring their extent and health is therefore important. UAV aerial photography provides ultra-high resolution spatial data for this purpose. The aim of this study is to use Structure from Motion (SfM) techniques to generate a detailed 3D point cloud of the terrain from overlapping UAV photography.
机译:本研究是第一个使用无人驾驶飞行器(UAV)来在南极洲绘制苔藓床的型号。苔藓可以用作气候变化区域影响的指标。因此,映射和监测它们的程度和健康是重要的。 UAV航空摄影为此提供超高分辨率空间数据。本研究的目的是使用来自运动(SFM)技术的结构来生成从重叠的UAV摄影的地形的详细3D点云。

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