宏观塑料垃圾的遥感和图像分析:一篇综述
Shin'ichiro Kako1, Tomoya Kataoka2, Daisuke Matsuoka1
1Graduate School of Science and Engineering, Department of Engineering, Ocean Civil Engineering Program, Kagoshima University, Kagoshima, Japan; Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan.
Marine pollution bulletin
|September 10, 2025
概括
遥感和人工智能可以监测海洋塑料污染,但不一致的指标阻碍了比较. 量化单位的标准化对于有效的,以科学为基础的政策和从陆地到海洋追踪塑料至关重要.
科学领域:
- 环境科学 环境科学
- 遥感技术 遥感技术 遥感技术
- 环境监测中的人工智能
背景情况:
- 海洋塑料污染需要超越传统调查的可扩展和客观监测.
- 遥感和人工智能为检测宏观塑料垃圾提供先进的解决方案.
- 现有方法在一致性和可比性方面面临挑战.
研究的目的:
- 审查近期遥感和人工智能用于宏观塑料垃圾检测的进展.
- 分析量化方法并确定监测塑料污染的挑战.
- 突出需要对基于遥感的塑料污染评估进行标准化.
主要方法:
- 从Scopus数据库对2024年之前的同行评审研究进行系统审查.
- 专注于水生环境中的遥感平台 (网络摄像头,无人机,飞机,卫星).
- 对量化技术的分析,从手册注释到深度学习模型.
主要成果:
- 机器学习的采用在2020年左右增加,但手动/基于规则的方法仍然存在.
- 量化指标 (面积,体积,重量,计数) 的显著变化使比较变得复杂.
- 遥感提供了增强的空间覆盖,但面临着环境和解决方案的挑战.
结论:
- 为了实现跨平台的可比性,迫切需要对量化单位和协议进行标准化.
- 垃圾覆盖面积和每单位面积的项目数量是最适合协调的.
- 综合遥感和人工智能技术可以支持基于科学的塑料污染控制政策制定.
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