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.

该项目将研究高级数据融合技术的可行性和潜力，以增强对人道主义地雷检测的电磁方法的性能。最初，该项目将集中于多频金属表征，地面穿透雷达以及跟踪手持式探测器的位置，以降低次数的精度。直觉是将测量系统安装在Deminer安全头盔或探测器的茎上，以提供实时的MM位置信息以及地面穿透雷达和多频金属表征。随着研究的进行，将研究综合视觉，多频金属检测和GPS方法的可行性，以改善目标区分。该学生还将使用金属检测和地面穿透雷达与其他研究人员紧密合作，以研究集成溶液的功效。