在城市环境中绘制垃圾堆地图,使用地面调查,无人机图像的手动数字化和基于对象的图像分类方法
Patrick K Kalonde1,2,3, Taonga Mwapasa4, Rosheen Mthawanji5
1Department of Geography and Planning, St Cloud State University, St Cloud State University, 720 4Th Ave South, St Cloud, MN, 56301, USA. pkalonde@mlw.mw.
Environmental monitoring and assessment
|March 11, 2025
概括
无人机图像有效地监测环境废物,比地面调查识别更多的废物堆. 这项技术有助于监测废物减少干预措施,并为环境政策提供信息.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 垃圾的公开倾倒对环境构成重大威胁.
- 现有的监测废物减少干预措施的工具开发不足.
- 有效的环境监测对于废物管理至关重要.
研究的目的:
- 探索无人机图像对废物堆的环境监测的实用性.
- 将无人机绘图与传统的地面调查进行比较.
- 评估废弃物堆识别监督分类算法的性能.
主要方法:
- 无人机图像使用结构从运动 (SfM) 捕获和处理.
- 在QGIS中的Orfeo工具箱用于图像细分.
- 监督分类算法 (随机森林,ANN,天真贝叶斯,SVM) 被训练和评估.
- 使用GPS进行地面调查以进行比较.
主要成果:
- 与地面调查相比,无人机测绘发现了更多的垃圾堆.
- 支持矢量机 (SVM) 模型实现了高性能 (精度为0.98,回调为0.99,F1得分为0.98).
- 无人机绘图量化了垃圾堆的空间范围,并进入了难以进入的地形.
结论:
- 无人机图像为环境废物监测提供了一个强大的工具.
- 这项技术可以加强对减少废物干预措施的监测.
- 无人机数据可以为环境政策和废物管理策略提供信息.
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