TITLE:
Performance Analysis of Techniques Used for Determining Land Mines
AUTHORS:
Yavuz Ege, Adnan Kakilli, Osman Kılıç, Hüseyin Çalık, Hakan Çıtak, Sedat Nazlıbilek, Osman Kalender
KEYWORDS:
Remote Sensing, Land Mine, Detection Performance, Algorithm
JOURNAL NAME:
International Journal of Geosciences,
Vol.5 No.10,
September
26,
2014
ABSTRACT: Today, remote sensing is used for different methods and different
purposes. In all of the detection methods, some considerations such as low
energy consumption, low cost, insensitivity to environmental changes, high
accuracy, high reliability and robustness become important. Taking into account
these facts, remote sensing methods are used in applications such as geological
and archeological research, engineering areas, health services, preserving and
controlling natural life, determination of underground sources, controlling
air, sea and road traffic, military applications, etc. The method to be used is
based on the object type to be detected, material to be made, and location to
be found. The remote sensing methods from the past up to today can be listed as
acoustic and seismic, ground penetration radar (GPR) detection, electromagnetic
induction, infrared (IR) imaging, neutron quadrupole resonance (NQR), thermal
neutron activation (TNA), neutron back scattering, X-ray back scattering, and
magnetic anomaly detection. In these methods, detected raw images have to be
processed, filtered and enhanced. In order to achieve these operations, some
algorithms are needed to be developed. In this study, the methods used in
detecting land mines remotely and their performance analysis have been given.
In this way, the last situation on the advantages and disadvantages of methods
used, application areas and detection accuracies are determined. Furthermore,
the algorithms such as transmission line matrix (TLM), finite difference time-domain
(FDTD), the method of moment (MoM), split step parabolic equation (SSPE) and
image processing and intelligent algorithms are presented in detail.