EXP-LA: Collaborative Research: Optimized Multi-algorithm Systems for Detecting Explosive Objects Using Robust Clustering and Choquet Integration

EXP-LA：协作研究：使用鲁棒聚类和 Choquet 集成检测爆炸物的优化多算法系统

• 批准号: 0730484
• 负责人: Paul Gader
• 金额: $ 37万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0730484&HistoricalAwards=false
• 关键词: EXP; LA; Collaborative; Research; Optimized

EXP-LA: EXP-LA: Collaborative Research: EXP-LA: Optimized Multi-algorithm Systems for Detecting Explosive Objects Using Robust Clustering and Choquet Integration.PI name: Paul GaderInstitution: University of FloridaProposal Number: 0730484This project will develop multi-algorithm systems that detect explosive objects from sensor data obtained through detecting tools such as ground penetrating radars. Analysis of context will be used as a precursor to detection of landmines. The PIs already have algorithms and test data, and will build on this previous work. They also will perform experiments to determine if their previous work applies in the situations envisioned.

EXP-LA: EXP-LA: Collaborative Research: EXP-LA: Optimized Multi-algorithm Systems for Detecting Explosive Objects Using Robust Clustering and Choquet Integration.PI name: Paul GaderInstitution: University of FloridaProposal Number: 0730484This project will develop multi-algorithm systems that detect explosive objects from sensor data obtained through detecting tools such as ground penetrating radars. 上下文的分析将用作检测地雷的先驱。 PI已经具有算法和测试数据，并将基于先前的工作。他们还将执行实验，以确定他们以前的工作是否适用于所设想的情况。