04930nam 2201021z- 450 991055733740332120231214133419.0(CKB)5400000000042504(oapen)https://directory.doabooks.org/handle/20.500.12854/76950(EXLCZ)99540000000004250420202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvanced Techniques for Ground Penetrating Radar ImagingBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (218 p.)3-0365-2149-6 3-0365-2150-X 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.Technology: general issuesbicsscGround Penetrating Radar (GPR)Unmanned Aerial Vehicles (UAVs)Synthetic Aperture Radar (SAR)Real Time Kinematic (RTK)Ultra-Wide-Band (UWB)landmine and IED detectionnon-destructive testingGPRcoherencesemblanceattribute analysisimagingGPR tracehigh-resolution datalarge-scale surveyarchaeological prospectionGround-Penetrating Radarvelocity analysiscoherency functionalsGPR data processingGPR data migrationspatial-variant convolution neural network (SV-CNN)spatial-variant convolution kernel (SV-CK)radar image enhancingMIMO radarneural networksimaging radarground penetrating radarwavelet scattering networkmachine learningsupport vector machinepipeline identificationsnowsnow water equivalent (SWE)stepped-frequency continuous wave radar (SFCW)software defined radio (SDR)snowpack multilayer reflectanceGround Penetrating RadarSynthetic Aperture RadarlandmineImprovised Explosive Deviceradarnoise attenuationGaussian spike impulse noisedeep convolutional denoising autoencoders (CDAEs)deep convolutional denoising autoencoders with network structure optimization (CDAEsNSO)applied geophysicsdigital signal processingenhancement of 3D-GPR datasetsclutter noise removalspectral filteringground-penetrating radarnondestructive testingpipelines detectionmodelingsignal processingTechnology: general issuesLópez Yuriedt1322379Fernández María GarcíaedtLópez YuriothFernández María GarcíaothBOOK9910557337403321Advanced Techniques for Ground Penetrating Radar Imaging3034934UNINA