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Advanced Techniques for Ground Penetrating Radar Imaging
| Advanced Techniques for Ground Penetrating Radar Imaging |
| Autore | López Yuri |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (218 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
Ground Penetrating Radar (GPR)
Unmanned Aerial Vehicles (UAVs) Synthetic Aperture Radar (SAR) Real Time Kinematic (RTK) Ultra-Wide-Band (UWB) landmine and IED detection non-destructive testing GPR coherence semblance attribute analysis imaging GPR trace high-resolution data large-scale survey archaeological prospection Ground-Penetrating Radar velocity analysis coherency functionals GPR data processing GPR data migration spatial-variant convolution neural network (SV-CNN) spatial-variant convolution kernel (SV-CK) radar image enhancing MIMO radar neural networks imaging radar ground penetrating radar wavelet scattering network machine learning support vector machine pipeline identification snow snow water equivalent (SWE) stepped-frequency continuous wave radar (SFCW) software defined radio (SDR) snowpack multilayer reflectance Ground Penetrating Radar Synthetic Aperture Radar landmine Improvised Explosive Device radar noise attenuation Gaussian spike impulse noise deep convolutional denoising autoencoders (CDAEs) deep convolutional denoising autoencoders with network structure optimization (CDAEsNSO) applied geophysics digital signal processing enhancement of 3D-GPR datasets clutter noise removal spectral filtering ground-penetrating radar nondestructive testing pipelines detection modeling signal processing |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557337403321 |
López Yuri
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement
| Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement |
| Autore | Kobayashi Hirokazu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (570 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
inverse synthetic aperture ladar (ISAL)
maneuvering target integral cubic phase function (ICPF) fractional Fourier transform (FRFT) non-uniform fast Fourier transform (NUFFT) CLEAN technique simultaneous polarimetric radar constant modulus sequences correlation properties doppler tolerance saliency preprocessing LLC saliency detection image processing scene classification antenna array automatic guided vehicle DoA/DoD estimation MIMO radar direct position determination Doppler Doppler rate maximum likelihood estimator coherent pulse trains single moving sensor Cramer-Rao lower bound bistatic MIMO radar DOD/DOA estimation mutual coupling off-grid sparse problem unmanned aerial vehicle clustering methods man-made targets synthetic aperture radar (SAR) inverse synthetic aperture radar (ISAR) polarimetric decomposition Synthetic Aperture Radar (SAR) microwave imaging constitutive parameters conductivity permittivity tomography RF MEMS switch analytical approach low control voltage high switching speed high reliability radar echo cancellation frequency shifting modulation interrupted sampling radar jamming deception jamming remote sensing SAR radon transform speckle noise filtering maritime traffic monitoring wake detection and analysis synthetic aperture radar differential SAR tomography squinted SAR 3-D deformation 2-D PPS maneuvering target detection coherent integration motion parameter estimation second-order phase difference (SoPD) time-frequency analysis image fusion sparse representation hyperbolic tangent function guided filter narrowband interference separation block sparse Bayesian learning sensing matrix optimization block coherence measure bistatic inverse synthetic aperture radar linear geometry distortion prior information least square error lunar penetrating radar local correlation SNR K-L transform seislet transform generative adversarial nets through-wall radar imaging multipath ghost suppression generator and discriminator ultrahigh resolution spaceborne curved orbit series reversion singular value decomposition (SVD) deramping-based approach crosshole ground penetrating radar (GPR) Bayesian inversion Markov chain Monte Carlo (MCMC) forward model modeling error discrete cosine transform (DCT) through-wall imaging contrast target detection clutter reduction entropy thresholding low-rank approximation S-transformation ISAR micro-Doppler synchrosqueezing PBR (passive bistatic radar) clutter suppression non-uniform grid dilation morphology passive bistatic radar phased array radar parameter estimation aircraft surveillance GPR seasonal permafrost electromagnetic wave attribute relative water content marine radar wind direction retrieval small wind streak local gradient method adaptive reduced method energy spectrum method metamaterial absorber double negative dual-band FMCW radio altimeter methodological error critical height altitude measurement accuracy height pulses ultra-wide frequency deviation sparse recovery wideband noise interference dechirping subspace extraction denoising detection orthogonal matching pursuit pulse radar rotating target micro-motion feature extraction interrupted transmitting and receiving (ITR) dual-polarized radar DOA estimation atomic norm comprehensive SAR multiparametric SAR observation discrete scatterer model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557305803321 |
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Kobayashi Hirokazu
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li . Volume 1
| Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li . Volume 1 |
| Autore | Shi Jiancheng |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (404 p.) |
| Soggetto non controllato |
gross primary production (GPP)
interference filter Visible Infrared Imaging Radiometer Suite (VIIRS) cost-efficient precipitation topographic effects land surface temperature Land surface emissivity scale effects spatial-temporal variations statistics methods inter-annual variation spatial representativeness FY-3C/MERSI sunphotometer PROSPECT passive microwave flux measurements urban scale vegetation dust-retention multiple ecological factors leaf age standard error of the mean LUT method spectra SURFRAD Land surface temperature aboveground biomass uncertainty land surface variables copper Northeast China forest disturbance end of growing season (EOS) random forest model probability density function downward shortwave radiation machine learning MODIS products composite slope daily average value canopy reflectance spatiotemporal representative light use efficiency hybrid method disturbance index quantitative remote sensing inversion SCOPE GPP South China's anisotropic reflectance vertical structure snow cover land cover change start of growing season (SOS) MS-PT algorithm aerosol pixel unmixing HiWATER algorithmic assessment surface radiation budget latitudinal pattern ICESat GLAS vegetation phenology SIF metric comparison Antarctica spatial heterogeneity comprehensive field experiment reflectance model sinusoidal method NDVI BRDF cloud fraction NPP VPM China dense forest vegetation remote sensing Cunninghamia high resolution geometric-optical model phenology LiDAR ZY-3 MUX point cloud multi-scale validation Fraunhofer Line Discrimination (FLD) rice fractional vegetation cover (FVC) interpolation high-resolution freeze/thaw drought Synthetic Aperture Radar (SAR) controlling factors sampling design downscaling Chinese fir MRT-based model RADARSAT-2 northern China leaf area density potential evapotranspiration black-sky albedo (BSA) decision tree CMA fluorescence quantum efficiency in dark-adapted conditions (FQE) surface solar irradiance validation geographical detector model vertical vegetation stratification spatiotemporal distribution and variation gap fraction phenological parameters spatio-temporal albedometer variability GLASS gross primary productivity (GPP) EVI2 machine learning algorithms latent heat GLASS LAI time series boreal forest leaf maize heterogeneity temperature profiles crop-growing regions satellite observations rugged terrain species richness voxel LAI TMI data GF-1 WFV spectral HJ-1 CCD leaf area index evapotranspiration land-surface temperature products (LSTs) SPI AVHRR Tibetan Plateau snow-free albedo PROSPECT-5B+SAILH (PROSAIL) model MCD43A3 C6 3D reconstruction photoelectric detector multi-data set BEPS aerosol retrieval plant functional type multisource data fusion remote sensing leaf spectral properties solo slope land surface albedo longwave upwelling radiation (LWUP) terrestrial LiDAR AMSR2 geometric optical radiative transfer (GORT) model MuSyQ-GPP algorithm tree canopy FY-3C/MWRI meteorological factors solar-induced chlorophyll fluorescence metric integration observations polar orbiting satellite arid/semiarid homogeneous and pure pixel filter thermal radiation directionality biodiversity gradient boosting regression tree forest canopy height Landsat subpixel information MODIS humidity profiles NIR geostationary satellite |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346664203321 |
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Shi Jiancheng
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li
| Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li |
| Autore | Shi Jiancheng |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (404 p.) |
| Soggetto non controllato |
gross primary production (GPP)
interference filter Visible Infrared Imaging Radiometer Suite (VIIRS) cost-efficient precipitation topographic effects land surface temperature Land surface emissivity scale effects spatial-temporal variations statistics methods inter-annual variation spatial representativeness FY-3C/MERSI sunphotometer PROSPECT passive microwave flux measurements urban scale vegetation dust-retention multiple ecological factors leaf age standard error of the mean LUT method spectra SURFRAD Land surface temperature aboveground biomass uncertainty land surface variables copper Northeast China forest disturbance end of growing season (EOS) random forest model probability density function downward shortwave radiation machine learning MODIS products composite slope daily average value canopy reflectance spatiotemporal representative light use efficiency hybrid method disturbance index quantitative remote sensing inversion SCOPE GPP South China's anisotropic reflectance vertical structure snow cover land cover change start of growing season (SOS) MS-PT algorithm aerosol pixel unmixing HiWATER algorithmic assessment surface radiation budget latitudinal pattern ICESat GLAS vegetation phenology SIF metric comparison Antarctica spatial heterogeneity comprehensive field experiment reflectance model sinusoidal method NDVI BRDF cloud fraction NPP VPM China dense forest vegetation remote sensing Cunninghamia high resolution geometric-optical model phenology LiDAR ZY-3 MUX point cloud multi-scale validation Fraunhofer Line Discrimination (FLD) rice fractional vegetation cover (FVC) interpolation high-resolution freeze/thaw drought Synthetic Aperture Radar (SAR) controlling factors sampling design downscaling Chinese fir MRT-based model RADARSAT-2 northern China leaf area density potential evapotranspiration black-sky albedo (BSA) decision tree CMA fluorescence quantum efficiency in dark-adapted conditions (FQE) surface solar irradiance validation geographical detector model vertical vegetation stratification spatiotemporal distribution and variation gap fraction phenological parameters spatio-temporal albedometer variability GLASS gross primary productivity (GPP) EVI2 machine learning algorithms latent heat GLASS LAI time series boreal forest leaf maize heterogeneity temperature profiles crop-growing regions satellite observations rugged terrain species richness voxel LAI TMI data GF-1 WFV spectral HJ-1 CCD leaf area index evapotranspiration land-surface temperature products (LSTs) SPI AVHRR Tibetan Plateau snow-free albedo PROSPECT-5B+SAILH (PROSAIL) model MCD43A3 C6 3D reconstruction photoelectric detector multi-data set BEPS aerosol retrieval plant functional type multisource data fusion remote sensing leaf spectral properties solo slope land surface albedo longwave upwelling radiation (LWUP) terrestrial LiDAR AMSR2 geometric optical radiative transfer (GORT) model MuSyQ-GPP algorithm tree canopy FY-3C/MWRI meteorological factors solar-induced chlorophyll fluorescence metric integration observations polar orbiting satellite arid/semiarid homogeneous and pure pixel filter thermal radiation directionality biodiversity gradient boosting regression tree forest canopy height Landsat subpixel information MODIS humidity profiles NIR geostationary satellite |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346664103321 |
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Shi Jiancheng
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Improving Flood Detection and Monitoring through Remote Sensing
| Improving Flood Detection and Monitoring through Remote Sensing |
| Autore | Refice Alberto |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (158 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
mobile mapping system
RRI model high-water marks inundation Northern Kyushu floods point clouds flood mapping temporary flooded vegetation (TFV) Sentinel-1 time series data Synthetic Aperture Radar (SAR) sentinel-1 SAR flood image classification clustering monsoon Philippines LiDAR geometric parameters levee stability overtopping Pearl River Delta CYGNSS flood detection Sistan and Baluchestan GNSS-R flood monitoring ALOS 2 multi-sensor integration multi-temporal inundation analysis Zambesi-Shire river basin image processing hydrology synthetic aperture radar |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585942203321 |
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Refice Alberto
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Land Degradation Assessment with Earth Observation
| Land Degradation Assessment with Earth Observation |
| Autore | Symeonakis Elias |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (368 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
bfast
Mann-Kendall Sen's slope East Africa NDVI breakpoint analysis vegetation trends greening browning Kenya Uganda trend analysis land use land cover spatial heterogeneity mining development geographically weighted regression (GWR) arid and semi-arid areas salinization irrigated systems Niger River basin salinity index vegetation index TI-NDVI Sentinel-2 images high temporal resolution wind erosion modeling RWEQ GEE central Asia spatial-temporal variation land degradation archetypes self-organizing maps drivers savannah Nigeria reference levels REDD+ greenhouse gas emissions Xishuangbanna monitoring and reporting Normalised Difference Vegetation Index (NDVI) Vegetation Condition Index (VCI) drought land use-land cover remote sensing Botswana developing countries Google Earth Engine Landsat time series analysis semi-arid areas sustainable land management programmes precipitation breakpoints and timeseries analysis ecosystem structural change BFAST land degradation neutrality SDG land productivity Landsat vegetation-precipitation relationship soil organic carbon Kobresia pygmaea community unmanned aerial vehicle Gaofen satellite spatial distribution aridity index satellite-based aridity index remote sensing index salinized land degradation index (SDI) Amu Darya delta (ADD) satellite imagery gully mapping machine learning random forest support vector machines South Africa semi-arid environment shrub encroachment slangbos Earth observation time series Sentinel-1 Sentinel-2 Synthetic Aperture Radar (SAR) Soil Adjusted Vegetation Index (SAVI) Kyrgyzstan pastures MODIS land surface phenology drought impacts drought adaptation drought index vegetation resilience drought vulnerability standardized precipitation evapotranspiration index AVHRR |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576873503321 |
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Symeonakis Elias
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images . Volume 2
| Learning to Understand Remote Sensing Images . Volume 2 |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (363 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN | 3-03897-699-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755503321 |
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Wang Qi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images . Volume 1
| Learning to Understand Remote Sensing Images . Volume 1 |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (414 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN | 3-03897-685-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755603321 |
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Wang Qi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Radar and Sonar Imaging and Processing
| Radar and Sonar Imaging and Processing |
| Autore | Stateczny Andrzej |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (468 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
radar
fuzzy sets theory artificial neural network game theory safe ship trajectory computer simulation computer decision support underwater sonar image adaptive denoising detection adaptive initialization synthetic aperture sonar (SAS) multireceiver numerical evaluation numerical transfer function imaging algorithm X-Band radar marine radar current measurement quality control measurement reliability accuracies precision WaMoS® II vessel mounted acoustic Doppler current profiler autonomous surface vehicles anti-collision automotive radar target detection interferometric inverse synthetic aperture radar (InISAR) image registration translational motion parameters estimation strong scattering centers fusion terahertz radar imaging side-scan sonar image gray scale correction Retinex image enhancement side-scan sonar multibeam echo sounder initial image matching with constraint dense local self-similarity superimposition quadratic phase error SAR approximation spaceborne real-time SAR imaging orbit determination error synthetic aperture radar (SAR) low frequency high-resolution large bandwidth improved generalized chirp scaling (GCS) Lagrange inversion theorem range-dependent coupling complex Doppler ambiguity fast-maneuvering target refocusing non-uniform FFT (NUFFT) 1D scaled Fourier transform (1D SCFT) 3D sonar bathymetry data reduction autonomous navigation ground penetrating radar underground cavity detection network deep convolutional neural network automated underground object classification phase analysis super-resolution anti-drone systems FMCW radars drones detection radars calibration narrow-band radar target classification signal reconstruction features extraction weighted features fusion Synthetic Aperture Radar (SAR) focusing periodically gapped data complex deconvolution side scan sonar bottom tracking one-dimensional convolutional neural network signal recognition real-time processing space-borne SAR deceptive jamming Doppler sensor acoustic vector sensor road traffic monitoring water column image gas emissions automatic detection optical flow parallax cloud earth observation geostationary satellite meteorological radar MSG SEVIRI sonar data fusion sensor design target tracking target imaging image understanding target recognition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557524803321 |
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Stateczny Andrzej
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Radar Imaging in Challenging Scenarios from Smart and Flexible Platforms
| Radar Imaging in Challenging Scenarios from Smart and Flexible Platforms |
| Autore | Amin Moeness |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (196 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
high-resolution
highly-squinted maneuvers fifth-order motion parameter model spatial variation frequency-domain processing extended back-projection algorithm topography variations computational burden high resolution lunar penetrating radar lunar exploration compressive sensing lunar regolith modeling signal processing Synthetic Aperture Radar (SAR) Airborne SAR Sounder P-Band helicopter-borne radar UHF and VHF bands MIMO radar through-wall imaging ultrawideband signal SFCW sparse array back projection algorithm Vivaldi antenna SAR Interferometry Digital Elevation Model (DEM) Frequency-Modulated Continuous-Wave (FMCW) differential interferometry DInSAR precision agriculture drone-borne radar crop growth deficit map radar imaging unmanned aerial vehicle inverse scattering linear scattering models global positioning systems range-Doppler processor corner reflector forward-looking GPR surface clutter near-field antenna arrays microwave imaging coherence factor |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674022003321 |
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Amin Moeness
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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