University - Industry Cooperative Research Programs in the Mathematical Sciences: Mine Detection via Spatial Statistics and Robust Detection

数学科学产学合作研究项目：通过空间统计和稳健检测进行地雷探测

• 批准号: 9705220
• 负责人: Carey Priebe
• 金额: $ 7.1万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-07-01 至 1999-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9705220&HistoricalAwards=false
• 关键词: University; Industry; Cooperative; Research; Programs

In this project we will investigate various methods for detection and classification of buried objects, including but not limited to antipersonnel mines. Power Spectra Inc. Will supply us with state of the art ground penetrating radar data, taken in a variety of situations. We will utilize this data to train, test and refine our algorithms for detection and classification using spatial statistics and semiparametric density estimation. The final product will be signal processing algorithms which will have the capability to analyze Power Spectra's radar data and correctly identify antipersonnel mines. This project is jointly supported by the MPS Office of Multidisciplinary Activities (OMA) and the Division of Mathematical Sciences (DMS).

在这个项目中，我们将研究各种探测和分类掩埋物体的方法，包括但不限于杀伤人员地雷。Power Spectra Inc.将向我们提供在各种情况下拍摄的最先进的探地雷达数据。我们将利用这些数据来训练、测试和改进我们的算法，以便使用空间统计和半参数密度估计进行检测和分类。最终产品将是信号处理算法，它将具有分析Power Spectra的雷达数据并正确识别杀伤人员地雷的能力。该项目由MPS多学科活动办公室(OMA)和数学科学处(DMS)共同支持。