Masters Theses

Abstract

"Many programs aimed at airborne mine and minefield detection are being pursued and different algorithms are being developed and evaluated to achieve performance specifications. Thus far, no single algorithm or detection architecture has been able to fulfill the performance specifications for different mine and minefield detection scenarios...a need exists for a simulation based approach. One such simulation system is developed and evaluated in this thesis. The factors affecting the performance of an airborne detection system include physical parameters (type of background, time of day), data collection parameters (swath width, number of steps, in-step and in-flight overlap), and minefield scenarios. Data collection parameters are included in the simulation tool. False alarms and mine statistics are modeled based on the available data collected as a part of the developmental programs. Various mine and minefield detection algorithms are modeled and evaluated. Simulations are run, and Receiver Operating Characteristic (ROC) curves are used to evaluate the performance at both the mine and minefield levels. Analytical models for minefield detection performance are formulated and used to validate the simulated performance"--Abstract, page iii.

Advisor(s)

Agarwal, Sanjeev, 1971-

Committee Member(s)

Grant, Steven L.
Stanley, R. Joe

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Sponsor(s)

Night Vision Laboratory

Publisher

University of Missouri--Rolla

Publication Date

Summer 2007

Pagination

xii, 114 pages

Note about bibliography

Includes bibliographical references (pages 64-70).

Rights

© 2007 Saurabh Agarwal, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Computer simulation
Image processing -- Computer programs
Mines (Military explosives) -- Detection

Thesis Number

T 9365

Print OCLC #

260385601

Electronic OCLC #

227803195

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