NeonTreeEvaluation:用于机载RGB，高光谱和LIDAR图像树木检测的基准数据集
用于检测机载RGB，高光谱和LIDAR点云中单个树的多传感器基准数据集
树木的个体检测是林业和生态学的中心任务。 很少有论文分析在广泛的地理区域内提出的方法。 NeonTreeEvaluation数据集是在国家生态观测网络（NEON）中22个站点的RGB图像上绘制的一组边界框。 每个站点覆盖不同的森林类型（例如 ）。 该数据集是第一个在多种生态系统中具有一致注解的数据集，用于共同注册的RGB，LiDAR和高光谱图像。
评估图像包含在此仓库中的/ evaluation文件夹下。 注释文件（.xml）包含在此仓库中的/ annotations /下
制作人：Ben Weinstein-佛罗里达大学。
如何根据基准进行评估？
我们构建了一个R包，以方便评估并与基准评估数据进行交互。
图像是如何注释的？
每个可见的树都进行了注释，以创建一个包围垂直对象所有部分的边界框。 倒下的树木没有注释。
文件下载
资源详情
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