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A methodology for acquisition and processing of thermal data acquired by UAVs: a test about subfluvial springs' investigations

机译:无人机获取和处理的热数据的方法:关于河流下层调查的测试

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摘要

An accurate description of watercourses helps to easily understand their behaviour both for routine hydrological investigations and in disasters cases. Knowing the position and the dimension of the supply sources of the river is crucial, since they have a direct influence on its behaviour; however, they are not often easily identified, and almost always completely unknown. Aerial thermal data can be critical in order to rapidly reveal and map the river supply source points for extensive areas. Using unmanned aerial vehicles (UAVs) to collect very easily and quickly high-resolution information is thus very interesting. UAVs can house many sensors for performing investigations in different bands of the spectrum, including thermal data. This work explains how UAVs can be used to collect this kind of data (through RGB and thermal devices) and presents a strategy to easily integrate the information from these different sensors. Integration procedures, also applicable in emergency situations, were developed. These methods do not require points on the ground and can be performed using commercial devices.
机译:对水道的准确描述有助于在常规水文调查和灾害情况下轻松了解其行为。了解河流供应源的位置和规模至关重要,因为它们会直接影响其行为;但是,它们通常不容易识别,并且几乎总是完全未知。航空热力数据对于快速显示和绘制大范围河流的供水源点至关重要。因此,非常有趣的是使用无人飞行器(UAV)来收集高分辨率信息。无人机可以容纳许多传感器,以便在包括热数据在内的不同频段进行研究。这项工作解释了无人机如何用于收集此类数据(通过RGB和热设备),并提出了一种策略,可以轻松地集成来自这些不同传感器的信息。制定了适用于紧急情况的整合程序。这些方法不需要地面上的点,可以使用商用设备执行。

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