The application of weighted density distribution functions to landmine detection using hand-held units

Author

Satish Somanchi

Abstract

"Land mine detection using metal detector (MD) and ground penetrating radar (GPR) sensors in hand-held units is a difficult problem. Detection difficulties arise for several reasons, including the varying composition and type of metal in land mines and the time-varying nature of backgrounds, among others. This research explores spatially distributed MD features for differentiating land mine signatures from backgrounds. The spatially distributed features involve correlating sequences of MD energy values with six weighted density distribution functions. These features are evaluated using a standard back propagation neural network on real data sets containing more than 2,300 mine encounters of different size, shape, content and metal composition that are measured under different soil conditions. The effectiveness of these features to detect landmines of varying metal composition and type is investigated. Also, experimental results are presented from statistical analysis for feature assessment"--Abstract, page iii.

Advisor(s)

Stanley, R. Joe

Committee Member(s)

Miller, Ann K.
Dagli, Cihan H., 1949-

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

University of Missouri--Rolla

Publication Date

Summer 2002

Pagination

viii, 38 pages

Note about bibliography

Includes bibliographical references (pages 36-37).

Rights

© 2002 Satish Chandra Somanchi, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Subject Headings

Land mines -- DetectionMines (Military explosives) -- Detection

Thesis Number

T 8103

Print OCLC #

52560603

Recommended Citation

Somanchi, Satish, "The application of weighted density distribution functions to landmine detection using hand-held units" (2002). Masters Theses. 2222.
https://scholarsmine.mst.edu/masters_theses/2222