LEADER 00981nam0-22003251i-450 001 990004033760403321 005 20170713121042.0 035 $a000403376 035 $aFED01000403376 035 $a(Aleph)000403376FED01 035 $a000403376 100 $a19990530d1978----km-y0itay50------ba 101 0 $afre 102 $aFR 105 $ay-------00-yy 200 1 $aA la droite de Dieu$erésurrection de Jésus et actualisation du psaume 110$e1 dans le Nouveau Testament$fpar M. Gourgues 210 $aParis$cGabalda$d1978 215 $a270 p.$d25 cm 225 1 $aÉtudes bibliques 610 0 $aBibbia. Antico Testamento. Salmi$aInterpretazione 676 $a223.206 700 1$aGourgues,$bMichel$0153730 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004033760403321 952 $a223.2 GOU 1$bD.D.S.628$fFLFBC 952 $a223.2 GOU 1 BIS$b3405 bibl.$fFLFBC 959 $aFLFBC 996 $aÀ la droite de Dieu$9470911 997 $aUNINA LEADER 04965nam 2201045z- 450 001 9910557337403321 005 20220111 035 $a(CKB)5400000000042504 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76950 035 $a(oapen)doab76950 035 $a(EXLCZ)995400000000042504 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvanced Techniques for Ground Penetrating Radar Imaging 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (218 p.) 311 08$a3-0365-2149-6 311 08$a3-0365-2150-X 330 $aGround 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. 606 $aTechnology: general issues$2bicssc 610 $aapplied geophysics 610 $aarchaeological prospection 610 $aattribute analysis 610 $aclutter noise removal 610 $acoherence 610 $acoherency functionals 610 $adeep convolutional denoising autoencoders (CDAEs) 610 $adeep convolutional denoising autoencoders with network structure optimization (CDAEsNSO) 610 $adigital signal processing 610 $aenhancement of 3D-GPR datasets 610 $aGaussian spike impulse noise 610 $aGPR 610 $aGPR data migration 610 $aGPR data processing 610 $aGPR trace 610 $aground penetrating radar 610 $aGround Penetrating Radar 610 $aGround Penetrating Radar (GPR) 610 $aground-penetrating radar 610 $aGround-Penetrating Radar 610 $ahigh-resolution data 610 $aimaging 610 $aimaging radar 610 $aImprovised Explosive Device 610 $alandmine 610 $alandmine and IED detection 610 $alarge-scale survey 610 $amachine learning 610 $aMIMO radar 610 $amodeling 610 $an/a 610 $aneural networks 610 $anoise attenuation 610 $anon-destructive testing 610 $anondestructive testing 610 $apipeline identification 610 $apipelines detection 610 $aradar 610 $aradar image enhancing 610 $aReal Time Kinematic (RTK) 610 $asemblance 610 $asignal processing 610 $asnow 610 $asnow water equivalent (SWE) 610 $asnowpack multilayer reflectance 610 $asoftware defined radio (SDR) 610 $aspatial-variant convolution kernel (SV-CK) 610 $aspatial-variant convolution neural network (SV-CNN) 610 $aspectral filtering 610 $astepped-frequency continuous wave radar (SFCW) 610 $asupport vector machine 610 $aSynthetic Aperture Radar 610 $aSynthetic Aperture Radar (SAR) 610 $aUltra-Wide-Band (UWB) 610 $aUnmanned Aerial Vehicles (UAVs) 610 $avelocity analysis 610 $awavelet scattering network 615 7$aTechnology: general issues 700 $aLo?pez$b Yuri$4edt$01322379 702 $aFerna?ndez$b Mari?a Garci?a$4edt 702 $aLo?pez$b Yuri$4oth 702 $aFerna?ndez$b Mari?a Garci?a$4oth 906 $aBOOK 912 $a9910557337403321 996 $aAdvanced Techniques for Ground Penetrating Radar Imaging$93034934 997 $aUNINA