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).

Agency
National Science Foundation (NSF)
Institute
Division of Mathematical Sciences (DMS)
Type
Standard Grant (Standard)
Application #
9705220
Program Officer
Lloyd E. Douglas
Project Start
Project End
Budget Start
1997-07-01
Budget End
1999-06-30
Support Year
Fiscal Year
1997
Total Cost
$71,000
Indirect Cost
Name
Johns Hopkins University
Department
Type
DUNS #
City
Baltimore
State
MD
Country
United States
Zip Code
21218