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Investigating the performance of a low-cost thermal imager for forestry applications

机译:调查用于林业应用的低成本热成像仪的性能

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Thermography can be used for monitoring changes in the physiological state of plants. This is due to stress factors influencing emissions in the thermal infrared part of electromagnetic spectrum, and in effect changing the thermal properties of plants. However, there has been limited research into the use of thermal remote sensing approaches for tree health monitoring in the UK. This is due to a need for high spatial resolution data, which is usually obtained with low temporal frequency. Newly emerging technologies, such as unmanned aerial vehicles (UAVs), could supplement aerial data acquisition, but sensor development is still in the early stages. This paper investigates the performance of a low-cost microbolometer thermal infrared camera, which was to be deployed on a UAV platform. First the camera was tested in a laboratory environment to investigate whether camera temperature changes have a significant impact on the image quality. Tests suggested that a rapid camera's temperature change is reflected in future images, but the expected temperature change rate experienced during UAV launch and altitude gain would not have significant effect on the quality of thermal imagery. Further field-based experiment showed that obtaining absolute temperatures of non-blackbody objects can be accurately performed with such camera, providing the emissivity of surfaces is accurately known. The variation in the target's surface temperature throughout time was also well reflected.
机译:热成像可用于监测植物生理状态的变化。这是由于影响电磁谱的热红外部分排放的应力因素,从而改变植物的热性能。然而,在英国使用热遥感方法使用热遥感方法已经有限。这是由于需要高空间分辨率数据,该数据通常以低时间频率获得。新兴技术,如无人驾驶飞行器(无人机),可以补充空中数据采集,但传感器开发仍处于早期阶段。本文调查了低成本微速仪热红外相机的性能,该摄像机将部署在UAV平台上。首先,在实验室环境中测试相机,以研究相机温度变化是否对图像质量产生重大影响。测试表明,在未来的图像中反映了快速的相机的温度变化,但在无人机发射和高度增益期间经历的预期温度变化率对热图像的质量没有显着影响。基于现场的实验表明,可以用这种相机准确地执行非黑体物体的绝对温度,从而提供表面的发射率。目标表面温度的变化也在随时间均匀地反映。

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