海洋督察智能化

Search documents
多旋翼无人机为海洋督察打开广阔空间
Zhong Guo Zi Ran Zi Yuan Bao· 2025-08-24 10:31
Core Insights - The article discusses the transformative role of drone technology in enhancing the efficiency of natural resource supervision, addressing the limitations of traditional inspection methods [3][7][11]. Group 1: Drone Technology Advantages - Drones provide multi-dimensional information capture, overcoming the limitations of single-sensor perception by integrating various sensors like LiDAR, thermal imaging, and hyperspectral cameras [3][5]. - The precision of data collected by drones has significantly improved, with high-accuracy positioning systems achieving elevation precision better than 0.1 meters, which is crucial for accurate resource assessment [4][5]. - Drones exhibit strong adaptability to complex terrains, enabling comprehensive inspections in areas that are difficult to access, such as steep mountains and wetlands [5][12]. Group 2: Applications in Natural Resource Management - Drones are effectively utilized in various fields, including farmland protection, land use regulation, and ecological monitoring, significantly enhancing the efficiency and accuracy of problem detection [7][9]. - The integration of AI and LiDAR technology allows for real-time analysis and decision-making, facilitating the identification of illegal activities such as unauthorized construction and resource extraction [8][9]. - Drones can quickly respond to inspection tasks, providing real-time data and visual evidence, which is essential for timely decision-making and enforcement actions [12][14]. Group 3: Future Prospects - The future of drone technology in natural resource supervision looks promising with the integration of 5G/6G networks, big data analytics, and AI, which will further enhance operational efficiency and effectiveness [15]. - Drones are expected to evolve from merely extending human vision to becoming a comprehensive technological solution that integrates flight platforms, sensors, and data processing capabilities [15].