Author(s)

Yavuz Ege^1*, Adnan Kakilli², Osman Kılıç², Hüseyin Çalık³, Hakan Çıtak⁴, Sedat Nazlıbilek⁵, Osman Kalender⁶

¹Department of Physics, Necatibey Faculty of Education, Balikesir University, Balikesir, Turkey.
²Electrical Education Department, Technical Education Faculty, Marmara University, Istanbul, Turkey.
³Technical Sciences Vocational High School, Istanbul University, Istanbul, Turkey.
⁴Balikesir Vocational High School, Balikesir University, Balikesir, Turkey.
⁵Department of Mechatronics Engineering, Faculty of Engineering, Atilim University, Ankara, Turkey.
⁶Department of Electrical-Electronics Engineering, Faculty of Engineering, Orhangazi University, Bursa, Turkey.

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.

Remote Sensing, Land Mine, Detection Performance, Algorithm

Ege, Y. , Kakilli, A. , Kılıç, O. , Çalık, H. , Çıtak, H. , Nazlıbilek, S. and Kalender, O. (2014) Performance Analysis of Techniques Used for Determining Land Mines. International Journal of Geosciences, 5, 1163-1189. doi: 10.4236/ijg.2014.510098.