TY  - GEN
AU  - López,Yuri
AU  - Fernández,María García
AU  - López,Yuri
AU  - Fernández,María García
TI  - Advanced Techniques for Ground Penetrating Radar Imaging
SN  - books978-3-0365-2150-3
PY  - 2021///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Technology: general issues
KW  - bicssc
KW  - Ground Penetrating Radar (GPR)
KW  - Unmanned Aerial Vehicles (UAVs)
KW  - Synthetic Aperture Radar (SAR)
KW  - Real Time Kinematic (RTK)
KW  - Ultra-Wide-Band (UWB)
KW  - landmine and IED detection
KW  - non-destructive testing
KW  - GPR
KW  - coherence
KW  - semblance
KW  - attribute analysis
KW  - imaging
KW  - GPR trace
KW  - high-resolution data
KW  - large-scale survey
KW  - archaeological prospection
KW  - Ground-Penetrating Radar
KW  - velocity analysis
KW  - coherency functionals
KW  - GPR data processing
KW  - GPR data migration
KW  - spatial-variant convolution neural network (SV-CNN)
KW  - spatial-variant convolution kernel (SV-CK)
KW  - radar image enhancing
KW  - MIMO radar
KW  - neural networks
KW  - imaging radar
KW  - ground penetrating radar
KW  - wavelet scattering network
KW  - machine learning
KW  - support vector machine
KW  - pipeline identification
KW  - snow
KW  - snow water equivalent (SWE)
KW  - stepped-frequency continuous wave radar (SFCW)
KW  - software defined radio (SDR)
KW  - snowpack multilayer reflectance
KW  - Ground Penetrating Radar
KW  - Synthetic Aperture Radar
KW  - landmine
KW  - Improvised Explosive Device
KW  - radar
KW  - noise attenuation
KW  - Gaussian spike impulse noise
KW  - deep convolutional denoising autoencoders (CDAEs)
KW  - deep convolutional denoising autoencoders with network structure optimization (CDAEsNSO)
KW  - applied geophysics
KW  - digital signal processing
KW  - enhancement of 3D-GPR datasets
KW  - clutter noise removal
KW  - spectral filtering
KW  - ground-penetrating radar
KW  - nondestructive testing
KW  - pipelines detection
KW  - modeling
KW  - signal processing
KW  - n/a
N1  - Open Access
N2  - Ground penetrating radar (GPR) has become one of the key technologies in subsurface sensing and, in general, in non-destructive testing (NDT), since it is able to detect both metallic and nonmetallic targets. GPR for NDT has been successfully introduced in a wide range of sectors, such as mining and geology, glaciology, civil engineering and civil works, archaeology, and security and defense. In recent decades, improvements in georeferencing and positioning systems have enabled the introduction of synthetic aperture radar (SAR) techniques in GPR systems, yielding GPR-SAR systems capable of providing high-resolution microwave images. In parallel, the radiofrequency front-end of GPR systems has been optimized in terms of compactness (e.g., smaller Tx/Rx antennas) and cost. These advances, combined with improvements in autonomous platforms, such as unmanned terrestrial and aerial vehicles, have fostered new fields of application for GPR, where fast and reliable detection capabilities are demanded. In addition, processing techniques have been improved, taking advantage of the research conducted in related fields like inverse scattering and imaging. As a result, novel and robust algorithms have been developed for clutter reduction, automatic target recognition, and efficient processing of large sets of measurements to enable real-time imaging, among others. This Special Issue provides an overview of the state of the art in GPR imaging, focusing on the latest advances from both hardware and software perspectives
UR  - https://mdpi.com/books/pdfview/book/4541
UR  - https://directory.doabooks.org/handle/20.500.12854/76950
ER  -