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UAV-based magnetic anomaly detection system for remote sensing: design, build, test and fly (UAV-MAD)

基于无人机的遥感磁异常检测系统：设计、建造、测试和飞行（UAV-MAD）

基本信息

批准号：
503210-2016
负责人：
Suleman, Afzal
金额：
$ 16.56万
依托单位：
University of Victoria
依托单位国家：
加拿大
项目类别：
Department of National Defence / NSERC Research Partnership
财政年份：
2020
资助国家：
加拿大
起止时间：
2020-01-01 至 2021-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=696666
关键词：
UAV based magnetic anomaly detection

项目摘要

Unmanned Aerial Vehicles (UAVs) have proven to be an integral instrument in a suite of defence and security capabilities for persistent intelligence, surveillance and reconnaissance, and civilian and industrial sector remote sensing applications including mining exploration and pipeline monitoring. Defence Research and Development Canada (DRDC) has determined that there is a need for research and development in the area of tactical UAVs to explore and exploit emerging capabilities in submerged vessel detection to ensure maritime domain awareness. On one hand, submarine designers have been researching methods and techniques to reduce detectable signatures such as acoustic emissions, and radar, infrared and visual signatures. For example, the very quiet modern diesel-electric submarines and operations in the shallow waters present acoustical detection challenges. On the other hand, new developments in Magnetic Anomaly Detection (MAD) sensors have been proposed as a potential and promising technology to complement the capabilities of acoustic sensors. Therefore, the development of a Canadian UAV based defence and security instrument of a MAD-equipped UAV for maritime domain awareness is proposed, and with potential applications to the civilian remote sensing sector. The proposed technology includes the design and development of performance optimized UAVs with long endurance and large area coverage capabilities, the design and development of a UAV-based MAD sensor , and the development and testing of network control algorithms for multi-UAV missions

无人驾驶航空器（UAV）已被证明是一套防御和安全能力中不可或缺的工具，用于持续的情报，监视和侦察，以及民用和工业部门的遥感应用，包括采矿勘探和管道监测。加拿大国防研究与发展部（DRDC）已经确定，有必要在战术无人机领域进行研究和开发，以探索和利用水下船只探测的新兴能力，以确保海洋领域的意识。一方面，潜艇设计人员一直在研究减少可探测特征的方法和技术，如声发射、雷达、红外和视觉特征。例如，非常安静的现代柴电潜艇和浅水沃茨中的操作提出了声学检测挑战。另一方面，磁异常检测（MAD）传感器的新发展已被提出作为一种潜在的和有前途的技术，以补充声学传感器的能力。因此，加拿大无人机为基础的国防和安全工具的MAD装备无人机的海洋领域的意识，并与潜在的应用，民用遥感部门的发展。提出的技术包括设计和开发具有长航时和大面积覆盖能力的性能优化无人机，设计和开发基于无人机的MAD传感器，以及开发和测试多无人机任务的网络控制算法