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Easy MPE: Extraction of Quality Microplot Images for UAV-Based High-Throughput Field Phenotyping

机译:EASY MPE:用于UAV基高通量现场表型提取优质微坡图像

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摘要

Microplot extraction (PE) is a necessary image processing step in unmanned aerial vehicle- (UAV-) based research on breeding fields. At present, it is manually using ArcGIS, QGIS, or other GIS-based software, but achieving the desired accuracy is time-consuming. We therefore developed an intuitive, easy-to-use semiautomatic program for MPE called Easy MPE to enable researchers and others to access reliable plot data UAV images of whole fields under variable field conditions. The program uses four major steps: (1) binary segmentation, (2) microplot extraction, (3) production of ∗.shp files to enable further file manipulation, and (4) projection of individual microplots generated from the orthomosaic back onto the raw aerial UAV images to preserve the image quality. Crop rows were successfully identified in all trial fields. The performance of the proposed method was evaluated by calculating the intersection-over-union (IOU) ratio between microplots determined manually and by Easy MPE: the average IOU (±SD) of all trials was 91% (±3).
机译:微坡萃取(PE)是基于无人航空车辆(无人机)的育种领域的必要图像处理步骤。目前,它是手动使用ArcGIS,QGIS或基于其他GIS的软件,但实现所需的准确性是耗时的。因此,我们为MPE开发了一个直观,易于使用的半自动程序,用于称为Easy MPE,使研究人员和其他人能够在可变的现场条件下访问整个字段的可靠绘图数据UAV图像。该程序使用四个主要步骤:(1)二进制分割,(2)微脚本提取,(3)生产* .shp文件,以实现进一步的文件操作,并从正轨回到原始的单个微薄层的投影空中UAV图像以保持图像质量。在所有试用领域成功确定了裁剪行。通过计算手动确定的微普耕的交叉联合(IOU)比率来评估所提出的方法的性能,并且通过EASY MPE:所有试验的平均IOO(±SD)为91%(±3)。

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