One of the principal limitations employing a ground-penetrating radar (GPR) for landmine detection is presence clutter, i.e., reflections from surrounding environment, which might interfere with echoes. Clutter presents similar scattering characteristics as typical targets and may significantly raise threshold system. The capability to characterize internal structure buried target provide key u...

The application of infrared thermography to the detection and characterization of buried landmines (more generally, buried objects) is introduced. The problem is aimed at detecting the presence of objects buried under the ground and characterize them by estimating their thermal and geometrical properties using infrared measurements on the soil surface. Mathematically, this problem can be stated...

Sub-surface buried objects, such landmines and archaeological artefacts, and the surrounding environment constitute a complex system with variable characteristics. As a consequence, the detection and recognition of these objects may be extremely difficult. IR thermography, which is widely employed in the detection of discontinuities in materials and structures, would be in principle suitable al...

It is necessary to detect the target reflections in ground penetrating radar (GPR) images, so that surface metal targets can be identified successfully. In order to accurately locate buried metal objects, a novel method called the Multiresolution Monogenic Signal Analysis (MMSA) system is applied in ground penetrating radar (GPR) images. This process includes four steps. First the image is deco...

Typical components of a metal detector include a transmitter and receiver coil. As depicted in Figure B.1, electric currents that flow in the transmitter coil radiate a primary magnetic field that penetrates the surrounding medium and any nearby metallic object. A timechanging primary magnetic field will induce so-called eddy currents in the buried object, and these currents in turn radiate a s...

GPR (Ground Penetrating Radar) is one of subsurface sensing technologies, which has been used intensively since 1980s. Due to rapid development of both hardware and software, its possibilities have been considerably extended resulting in widening the area of its applications. While such applications as to detection of buried pipes and cables, archaeology and geology are established category, ne...

Object detection is an important process in surveillance system to locate objects and it considered as major application computer vision. The Convolution Neural Network (CNN) based models have been developed by many researchers for object achieve higher performance. However, existing some limitations such overfitting problem lower efficiency small detection. remote sensing hasthe of low detecti...