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ECE 501 the Project in lieu of Thesis Mine Detection Techniques Using Multiple Sensors
 

Summary: ECE 501 the Project in lieu of Thesis
Mine Detection Techniques Using Multiple Sensors
Cheolha Pedro Lee
Electrical and Computer Engineering
The University of Tennessee at Knoxville
lee@iristown.engr.utk.edu
Acknowledgement
I would like to thank Dr. Mongi Abidi for his support for this work and Dr. Joonki Paik for his advice.
I also would like to thank my committee members, Dr. Hairong Qi and Dr. Michael Roberts for evaluating this
work.
I would like to thank Mr. Sunho Lee and Mr. Jeongho Shin for their previous research about this topic.
I appreciate Dr. Luc van Kempen and Dr. Bart Scheers for providing their papers individually.
I also appreciate Miss Lydia Fanning for her help to edit this report.
Especially, I want to thank my wife Soomi for her support and patience during the last few months.
Abstract
This work has four main objects, to survey previous research about mine detection, to collect signature data for
future research, to experiment with the surveyed methods and collected data, and to propose an idea for an
advanced method.
Mainly this report is about the surveyed image processing methods and their implementation. Also, a method
to find mine targets from a set of candidates is proposed.

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences