无人机和地面真相数据收集,图像注释和机器学习:用于沿海息地绘图和分类的协议
Kristina Øie Kvile1, Hege Gundersen1, Robert Nøddebo Poulsen2
1Norwegian Institute for Water Research (NIVA), Økernveien 94, 0579 Oslo, Norway.
MethodsX
|September 19, 2024
概括
空中无人机成像为沿海息地提供高效,高分辨率的地图绘制. 该方法使用无人机图像和机器学习进行海草,海藻和海藻生态系统的详细分类.
科学领域:
- 海洋生态海洋生态学
- 遥感是一种远程传感.
- 地理空间分析是什么?
背景情况:
- 沿海息地是重要的生态系统,需要精确的监测.
- 传统的绘图方法缺乏详细的息地评估所需的空间和时间分辨率.
- 空中无人机成像为高分辨率沿海息地绘制提供了具有成本效益的解决方案.
研究的目的:
- 通过使用无人机成像来进行浅水息地分类的系统方法.
- 在一个涉及各种沿海息地的案例研究中展示该方法的应用.
- 为了更好地理解和管理海洋生态系统,实现详细和高效的绘制.
主要方法:
- 收集空中无人机图像并创建orthomosaics.
- 获取实地数据,用于监督图像注释和地图验证.
- 基于注释图像的自动化息地分类的机器学习算法培训.
主要成果:
- 成功对沿海息地进行分类,包括海草,海藻,海藻,沉积物和岩石.
- 无人机成像能力的演示,以区分各种沿海植被类型.
- 生成具有高空间和时间分辨率的详细息地图.
结论:
- 这种基于无人机的方法为绘制浅水息地的地图提供了一种高效和详细的方法.
- 这种方法支持对有生态价值的海洋生态系统的可持续管理.
- 高分辨率的无人机图像与机器学习相结合,增强了沿海息地监测能力.
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