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Subsurface Sensing Technologies and Applications Vol. 3, No. 3, July 2002 (2002) Image Processing-Based Mine Detection Techniques
 

Summary: Subsurface Sensing Technologies and Applications Vol. 3, No. 3, July 2002 (2002)
Image Processing-Based Mine Detection Techniques:
A Review
Joonki Paik,* Cheolha P. Lee, and Mongi A. Abidi
Imaging, Robotics, and Intelligent Systems Laboratory, Department of
Electrical and Computer Engineering, The University of Tennessee,
Knoxville
ReceiŻed October 2, 2001; reŻised February 8, 2002
Various mine detection techniques are reviewed with particular emphasis on signal and image
processing methods. Based on the target, mines are classified into two types; anti-tank mine
(ATM) and anti-personnel mine (APM). Because of the variety of mine types, current mine
detection techniques are diversified. The assumption is made that most mine detection tech-
niques consist of sensor, signal processing, and decision processes. For the sensor part, ground
penetration radar (GPR), infrared (IR), and ultrasound (US) sensors are reviewed and their
characteristics are summarized for the corresponding output signals. For the signal processing
and decision parts, a set of image processing techniques including filtering, enhancement,
feature extraction, and segmentation are surveyed. Segmentation is used to extract mine signal
from various competing signals. For most image processing techniques covered by this paper,
mine detection related experimental results are included or reproduced from existing works.
Key Words. Mine detection, anti-personnel mine, anti-tank mine, unexploded ordinance,

  

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

 

Collections: Computer Technologies and Information Sciences