Data Fusion Techniques for Humanitarian Demining

人道主义排雷数据融合技术

• 批准号: 2106142
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2106142
• 关键词: Data; Fusion; Techniques; Humanitarian; Demining

This project will investigate the feasibility and potential of advanced data fusions techniques to enhance the performance of electromagnetic methods for humanitarian landmine detection. Initially, the project will focus on a combination of multi-frequency metal characterization, ground penetrating radar and tracking the position of handheld detectors to sub-centimeter accuracy. The intension is to mount the measurement system either in the deminer safety helmet or on the stem of the detector to provide real-time mm positional information alongside ground penetrating radar and multi-frequency metal characterization. As the research progresses, the feasibility of integrated vision, multi-frequency metal detection and GPS method for improved discrimination of targets will be investigated. The student will also work closely with other researcher using metal detection and ground penetrating radar to investigate the efficacy of the integrated solution.

该项目将调查先进的数据融合技术的可行性和潜力，以提高人道主义地雷探测电磁方法的性能。最初，该项目将侧重于多频金属表征、探地雷达和跟踪手持探测器位置的组合，精度达到亚厘米级。其目的是将测量系统安装在排雷人员的安全帽中或探测器的杆上，以便提供实时毫米位置信息以及地面穿透雷达和多频金属特性。随着研究的进展，将研究综合视觉、多频金属探测和GPS方法用于改进目标识别的可行性。学生还将与其他研究人员密切合作，使用金属探测和探地雷达来研究集成解决方案的有效性。