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.
Highlights
Remote sensing methods used up to today can be listed as acoustic and seismic, ground penetration radar (GPR) detection, electromagnetic induction, infrared (IR) imaging, nuclear quadrupole resonance (NQR), thermal neutron activation (TNA), neutron backscattering, X-ray backscattering and magnetic anomaly
In recent studies on the remote sensing, instead of finding a new method, some of the issues such as low power consumption, low cost, immunity to environmental changes, high sensitivity, high reliability and robustness are considered. It is concentrated on the studies of increasing the performance of sensors used in sensing methods and assessing the results from multiple methods together
The following variables are selected for performance criteria parameters for each work that is examined: soil type, material tested, test height, working rate and frequency, findings under these conditions
Summary
Remote sensing methods used up to today can be listed as acoustic and seismic, ground penetration radar (GPR) detection, electromagnetic induction, infrared (IR) imaging, nuclear quadrupole resonance (NQR), thermal neutron activation (TNA), neutron backscattering, X-ray backscattering and magnetic anomaly. In recent studies on the remote sensing, instead of finding a new method, some of the issues such as low power consumption, low cost, immunity to environmental changes, high sensitivity, high reliability and robustness are considered. Remote sensing methods are used effectively in the areas such as geological and archeological researches, engineering fields, health services, control and protection of natural life, determination of underground sources, determination of underground sources, air, sea and land traffic control, and military applications. In military applications, these methods are normally used for the detection of buried land mines
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