2017年天山云杉无人机可见光图像深度学习训练数据集

Qin Qiu, Shanshan Cao, Quansheng Li, Wei Sun, Lei Wang
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引用次数: 0

摘要

该数据集收集了天山云杉(新疆优质山林树种)的无人机可见光图像,用于深度学习训练。天山云杉是新疆天山地区具有重要生态功能的针叶树。通过遥感技术对天山云杉林进行有效识别和划分尤为重要,为采集天山云杉单因子信息提供了重要支撑。本研究结合山地地形和环境因素,制定了无人机野外作业方案,采集新疆农业大学南山实践林场的可见光遥感图像数据,经过数据滤波、几何校正和正射校正等预处理方法,拼接成正射投影图像。然后,我们采用Labelme软件对天山云杉进行绘图和分类,并在2017年获得了1128张天山云杉无人机可见光图像的数据集,用于深度学习训练。
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A dataset of UAV visible light images of Tianshan spruces for deep learning training in 2017
This dataset is a collection of UAV visible light images of Tianshan spruces (superior mountain forest tree species in Xinjiang) for deep learning training. Tianshan spruces are the most important conifer species in ecological function in Tianshan region, Xinjiang. It is particularly important to effectively identify and divide Tianshan spruce forest through remote sensing technology, which provides important support for collecting the information of Tianshan spruce single factors. In this study, combining with mountain terrain and environmental factors, we developed a UAV field operation plan to collect visible light remote sensing image data of Nanshan Practice Forest Farm of Xinjiang Agricultural University, which were spliced into orthophographic projective images after data filtering, geometric correction and ortho correction and other pre-processing methods. We then adopted Labelme software to plot and classify Tianshan spruces and obtained a dataset of 1,128 UAV visible light images of Tianshan spruces for deep learning training in 2017.
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