"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.
Agarwal, Sanjeev, 1971-
Grant, Steven L.
Stanley, R. Joe
Electrical and Computer Engineering
M.S. in Electrical Engineering
Night Vision Laboratory
University of Missouri--Rolla
xii, 114 pages
© 2007 Saurabh Agarwal, All rights reserved.
Thesis - Open Access
Library of Congress Subject Headings
Image processing -- Computer programs
Mines (Military explosives) -- Detection
Print OCLC #
Electronic OCLC #
Link to Catalog Recordhttp://laurel.lso.missouri.edu/record=b6489649~S5
Agarwal, Saurabh, "Modeling and performance estimation for airborne minefield detection system" (2007). Masters Theses. 4612.