Machine Learning-based workflows are being progressively used for the automatic detection of archaeological objects (intended as below-surface sites) in remote sensing data. Despite promising results phase, there is still a lack standard set measures to evaluate performance object methods, since buried sites often have distinctive shapes that them aside from other types included mainstream data...

Random noise polarimetry is a new radar technique for high-resolution probing of subsurface objects and interfaces. The University of Nebraska has developed a polarimetric random noise radar system based on the heterodyne correlation technique. Simulation studies and performance tests on the system confirm its ability to respond to phase differences in the received signals. In addition to polar...

The use of reflected Global Navigation Satellite System (GNSS) signals for sensing the Earth has been growing rapidly in recent years. This technique is founded on the basic principle of detecting GNSS signals after they have been reflected off the Earth's surface and using them to determine the properties of the reflecting surface remotely. This is the so-called GNSS reflectometry (GNSS-R) tec...

In this paper, we adapt the Faster-RCNN framework for the detection of underground buried objects (i.e. hyperbola reflections) in B-scan ground penetrating radar (GPR) images. Due to the lack of real data for training, we propose to incorporate more simulated radargrams generated from different configurations using the gprMax toolbox. Our designed CNN is first pre-trained on the grayscale Cifar...

The main purpose of this paper is to develop the method of characteristic functions for calculating the detection characteristics in the case of the object surrounded by rough surfaces. This method is to be implemented in synthetic aperture radar (SAR) systems using optimal resolution algorithms. By applying the specified technique, the expressions have been obtained for the false alarm and cor...

The best way to find buried ordnance (e.g., landmines) is to detect the explosive packaged inside. This expedient would eliminate detection of the ground clutter, such as shrapnel and stray metal fragments, that produce the great number of false positive signals and which slow down detection rates to unacceptable levels. The detection of the explosive is essentially what trained dogs do as they...

The land mine crisis is all over frightening since there are presently 500 million unexploded, buried mines in about 70 countries. Governments are noticing this situation seriously since land mines are claiming the limbs and lives of civilians’ very day. A multiple of landmine extraction from the data which are obtained from the Ground Penetrating Radar (GPR). Traditional algorithms targets on ...