基于卫星和无人机融合的海域动态监测方法研究与应用

Study and Application of Maritime Dynamic Monitoring Method Based on Satellite and Unmanned Aerial Vehicle

摘要:

人工测量、卫星遥感和航空遥感是开展海域监视监测工作的常用方式，但是在精度和时效性方面存在明显不足，亟需一种高效率、高精度、大范围的海域监视监测技术。因此本研究提出一种卫星和无人机融合的海域动态监测方法，基于深度学习与分类器相结合的机器算法，特征级融合和决策级融合的数据融合优化技术，利用卫星遥感平台监视监测大范围的海域状况，构建异常使用海域的区域侦测技术，协同使用低空无人机影像的遥感智能计算方法，快速实时获取监视区域内的海域使用和权属状况，实现对辖区海域利用状况的全方位管控。研究中所构建卫星和无人机遥感融合的海域动态监视监测方法，可以为海洋资源的开发管理与保护政策制定提供理论依据和方法支撑。

Abstract:

Artificial measurement, satellite remote sensing and aerial remote sensing are commonly used methods for conducting maritime surveillance and monitoring. However, they have obvious shortcomings in terms of accuracy and timeliness. There is an urgent need for an efficient, high-precision and wide-ranging maritime surveillance technology. Therefore, this study proposes a combined approach of satellite and unmanned aerial vehicle (UAV) remote sensing for maritime surveillance and monitoring. It utilizes satellite remote sensing platforms to monitor the condition of large maritime areas and constructs a regional detection technology for detecting abnormal use of maritime areas. It also synergistically uses remote sensing intelligent computing methods of low-altitude UAV imagery to quickly and real-time acquire information on maritime use and ownership in the surveillance area, and achieve comprehensive control over the utilization of the jurisdictional maritime areas. The combined approach of satellite and UAV remote sensing constructed in this study can provide theoretical basis and methodological support for the formulation of policies for the development, management, and protection of marine resources.