01030nam--2200349---450 99000046513020331620200728065415.02-01-016423-70046513USA010046513(ALEPH)000046513USA01004651320010524d1997----km-y0itay0103----bafre||||||||001yyAu temps des troubadours12.-13. siécleGeneviéve Brunel-Lobricon, Claude Duhamel-Amados.l.Hachette1997268 p.20 cmLa vie quotidienne2001La vie quotidiennePoesia trovadoricaPoesia provenzaleSec. 12.-13.849.10409BRUNEL-LOBRICON,Geneviéve545317DUHAMEL-AMADO,Claude545318ITsalbcISBD990000465130203316VI.1.A. 201(II f B 654)136149 LMII f BBKUMAAu temps des troubadours889492UNISA04965nam 2201045z- 450 991055733740332120220111(CKB)5400000000042504(oapen)https://directory.doabooks.org/handle/20.500.12854/76950(oapen)doab76950(EXLCZ)99540000000004250420202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvanced Techniques for Ground Penetrating Radar ImagingBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online 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 issuesbicsscapplied geophysicsarchaeological prospectionattribute analysisclutter noise removalcoherencecoherency functionalsdeep convolutional denoising autoencoders (CDAEs)deep convolutional denoising autoencoders with network structure optimization (CDAEsNSO)digital signal processingenhancement of 3D-GPR datasetsGaussian spike impulse noiseGPRGPR data migrationGPR data processingGPR traceground penetrating radarGround Penetrating RadarGround Penetrating Radar (GPR)ground-penetrating radarGround-Penetrating Radarhigh-resolution dataimagingimaging radarImprovised Explosive Devicelandminelandmine and IED detectionlarge-scale surveymachine learningMIMO radarmodelingn/aneural networksnoise attenuationnon-destructive testingnondestructive testingpipeline identificationpipelines detectionradarradar image enhancingReal Time Kinematic (RTK)semblancesignal processingsnowsnow water equivalent (SWE)snowpack multilayer reflectancesoftware defined radio (SDR)spatial-variant convolution kernel (SV-CK)spatial-variant convolution neural network (SV-CNN)spectral filteringstepped-frequency continuous wave radar (SFCW)support vector machineSynthetic Aperture RadarSynthetic Aperture Radar (SAR)Ultra-Wide-Band (UWB)Unmanned Aerial Vehicles (UAVs)velocity analysiswavelet scattering networkTechnology: general issuesLópez Yuriedt1322379Fernández María GarcíaedtLópez YuriothFernández María GarcíaothBOOK9910557337403321Advanced Techniques for Ground Penetrating Radar Imaging3034934UNINA