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Impact of camera focal length and sUAS flying altitude on spatial crop canopy temperature evaluation

机译:相机焦距和苏瓦斯飞行对空间作物冠层温度评估的影响

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摘要

Thermal image quality is critical to accurately quantify spatial and temporal growth and stress patterns of field crops. Image data quality from a thermal sensor can be impacted by several factors including environment, flying altitude, and camera focal length. Often times the thermal sensor selection is based upon price or ease of availability for research. Metrics are available to select the flight altitude based on thermal sensor focal length for desired ground resolution, however, no study has been conducted to provide the relative difference in image data, quality and efficiency of generating a thermal orthomosaic. Therefore, this study was conducted with the goal to compare the accuracy of canopy temperature quantification and assess the quality of thermal orthomosaic when using a thermal sensor of different focal lengths and image acquisition at varying flying altitudes of an sUAS. Three thermal infrared cameras were selected with focal lengths of 9 mm, 13 mm, and 19 mm. All three cameras were flown at altitudes of 20 m, 50 m, and 80 m, to collect aerial imagery of a 7,000 m(2) soybean field. The cameras were mounted on a rotary quadcopter. All flights were conducted at 3 m/s flying speed and 1 s shutter trigger interval. A ground reference system comprising of a panel and water bath system with measured actual temperature provided ground truth data for thermometric transformations. Imagery data were compared to assess differences in the number of images collected, percentage overlap required for 1 s shutter trigger interval, quality of orthomosaic and accuracy of canopy temperatures. Results showed that 13 mm focal length and 50 m altitude resulted in a finer resolution orthomosaic which can provide robust and accurate information on canopy temperature. The selection of such a system of camera lens angle and altitude can provide accurate, reliable and rapid canopy temperature quantification.
机译:热图像质量至关重要,可以准确地量化现场作物的空间和时间生长和应力模式。来自热传感器的图像数据质量可能受到环境,飞行高度和相机焦距的几个因素影响。通常是热传感器选择的基于价格或易于研究的可用性。可以基于所需地面分辨率的热传感器焦距选择度量来选择飞行高度,但是,没有进行研究以提供图像数据的相对差异,产生热正骨的图像数据,质量和效率。因此,该研究是为了比较冠层温度定量的准确性并评估使用不同焦距的热传感器和苏斯的不同飞行高度的不同焦距和图像采集时评估热正骨的质量。选择三个热红外相机,焦距为9毫米,13毫米和19毫米。所有三个摄像机都在20米,50米和80米的海拔地区飞行,收集7,000米(2)豆田的空中图像。摄像机安装在旋转Quadcopter上。所有航班均以3米/秒的飞行速度和1秒快门触发间隔进行。一种地面参考系统,包括具有测量实际温度的面板和水浴系统,为温度变换提供了地面真理数据。将图像数据进行比较,以评估收集的图像数量的差异,1 S快门触发间隔所需的百分比重叠,正交质量和冠层温度的准确性。结果表明,13毫米的焦距和50米高度导致更精细的正骨,可以提供有关冠层温度的鲁棒和准确的信息。选择这种相机镜头角度和高度的系统可以提供准确,可靠且快速的冠层温度量化。

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