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220822 ||| eng |
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|a 9783036521503
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|a 9783036521497
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|a books978-3-0365-2150-3
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|a López, Yuri
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| 245 |
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|a Advanced Techniques for Ground Penetrating Radar Imaging
|h Elektronische Ressource
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2021
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| 300 |
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|a 1 electronic resource (218 p.)
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| 653 |
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|a noise attenuation
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| 653 |
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|a non-destructive testing
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| 653 |
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|a machine learning
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| 653 |
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|a snowpack multilayer reflectance
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| 653 |
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|a spatial-variant convolution kernel (SV-CK)
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| 653 |
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|a large-scale survey
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| 653 |
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|a radar
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| 653 |
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|a Real Time Kinematic (RTK)
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| 653 |
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|a coherence
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| 653 |
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|a Synthetic Aperture Radar
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| 653 |
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|a stepped-frequency continuous wave radar (SFCW)
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| 653 |
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|a radar image enhancing
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| 653 |
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|a GPR data processing
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| 653 |
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|a Ground Penetrating Radar (GPR)
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| 653 |
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|a GPR trace
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| 653 |
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|a enhancement of 3D-GPR datasets
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| 653 |
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|a wavelet scattering network
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| 653 |
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|a Unmanned Aerial Vehicles (UAVs)
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| 653 |
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|a n/a
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|a software defined radio (SDR)
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| 653 |
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|a deep convolutional denoising autoencoders with network structure optimization (CDAEsNSO)
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| 653 |
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|a nondestructive testing
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| 653 |
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|a archaeological prospection
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| 653 |
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|a neural networks
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| 653 |
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|a imaging
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| 653 |
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|a velocity analysis
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| 653 |
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|a Ultra-Wide-Band (UWB)
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| 653 |
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|a GPR
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|a semblance
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|a Technology: general issues / bicssc
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|a snow water equivalent (SWE)
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|a attribute analysis
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| 653 |
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|a ground penetrating radar
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| 653 |
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|a GPR data migration
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| 653 |
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|a Synthetic Aperture Radar (SAR)
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| 653 |
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|a modeling
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| 653 |
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|a pipeline identification
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| 653 |
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|a Ground Penetrating Radar
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| 653 |
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|a clutter noise removal
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| 653 |
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|a Ground-Penetrating Radar
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| 653 |
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|a Improvised Explosive Device
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| 653 |
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|a deep convolutional denoising autoencoders (CDAEs)
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| 653 |
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|a coherency functionals
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| 653 |
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|a Gaussian spike impulse noise
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| 653 |
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|a high-resolution data
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|a support vector machine
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| 653 |
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|a signal processing
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| 653 |
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|a snow
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| 653 |
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|a spatial-variant convolution neural network (SV-CNN)
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| 653 |
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|a landmine and IED detection
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| 653 |
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|a MIMO radar
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| 653 |
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|a applied geophysics
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| 653 |
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|a spectral filtering
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| 653 |
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|a digital signal processing
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| 653 |
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|a pipelines detection
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| 653 |
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|a imaging radar
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| 653 |
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|a landmine
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| 653 |
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|a ground-penetrating radar
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| 700 |
1 |
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|a Fernández, María García
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| 700 |
1 |
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|a López, Yuri
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| 700 |
1 |
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|a Fernández, María García
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-0365-2150-3
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/76950
|z DOAB: description of the publication
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| 856 |
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|u https://www.mdpi.com/books/pdfview/book/4541
|7 0
|x Verlag
|3 Volltext
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|a 900
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|a 304
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|a 530
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|a 600
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|a 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.
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