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Basics and Applications in Quantum Optics
| Basics and Applications in Quantum Optics |
| Autore | Bondani Maria |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (120 p.) |
| Soggetto topico |
Research & information: general
Physics |
| Soggetto non controllato |
integrated photonics
quantum optics quantum simulation mesoscopic quantum states of light nonclassical photon-number correlations lossy transmission channels quantum state engineering nonlinear interferometer spontaneous four-wave mixing quantum message authentication quantum three-pass protocol Gao's forgery swap test conditional states silicon photomultipliers optical cross-talk nonclassicality quantum imaging plenoptic imaging quantum correlations SPAD arrays quantum fisher information compressive sensing quantum finite automata periodic languages confidence amplification photodetection |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566469303321 |
Bondani Maria
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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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Machine Learning in Sensors and Imaging
| Machine Learning in Sensors and Imaging |
| Autore | Nam Hyoungsik |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (302 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
star image
image denoising reinforcement learning maximum likelihood estimation mixed Poisson–Gaussian likelihood machine learning-based classification non-uniform foundation stochastic analysis vehicle–pavement–foundation interaction forest growing stem volume coniferous plantations variable selection texture feature random forest red-edge band on-shelf availability semi-supervised learning deep learning image classification machine learning explainable artificial intelligence wildfire risk assessment Naïve bayes transmission-line corridors image encryption compressive sensing plaintext related chaotic system convolutional neural network color prior model object detection piston error detection segmented telescope BP artificial neural network modulation transfer function computer vision intelligent vehicles extrinsic camera calibration structure from motion convex optimization temperature estimation BLDC electric machine protection touchscreen capacitive display SNR stylus laser cutting quality monitoring artificial neural network burr formation cut interruption fiber laser semi-supervised fuzzy noisy real-world plankton marine activity recognition wearable sensors imbalanced activities sampling methods path planning Q-learning neural network YOLO algorithm robot arm target reaching obstacle avoidance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566484703321 |
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Nam Hyoungsik
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| 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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Recent Advancements in Radar Imaging and Sensing Technology
| Recent Advancements in Radar Imaging and Sensing Technology |
| Autore | Samczynski Piotr |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (394 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
microwave staring correlated imaging (MSCI)
gain–phase errors strip self-calibration distributed MIMO radar target localization double-sided bistatic range (BR) microwave staring correlated imaging unsteady aerostat platform motion parameter fitting position error radar imaging synthetic aperture radar compressed sensing sparse reconstruction regularization passive forward scattering radar chirp rate estimation passive radar forward scattering radar radar measurements time-frequency analysis bistatic synthetic aperture radar (SAR) hyperbolic approximation phase compensation modified omega-K ground-penetrating radar noise suppression singular value decomposition Hankel matrix window length optimization synthetic aperture radar (SAR) high resolution wide swath (HRWS) azimuth multichannel reconstruction phase center adaptation false targets suppression damped exponential (DE) model inverse synthetic aperture radar (ISAR) radar signatures state–space approach (SSA) sparse representation polarimetric SAR tomography MIMO radar noise radar radar signal processing techniques analogue correlation modern radar applications delay line high pulse repetition frequency (HPRF) random frequency hopping (RFH) hypersonic aircraft SAR Synthetic Aperture Radar ASIFT Despeckling Filter Navigation Structure from Motion Iterative Closest Point radar tomography compressive sensing bistatic radar parameter-refined orthogonal matching pursuit (PROMP) orthogonal matching pursuit (OMP) k-space tomography narrowband radar off-grid compressive sensing slow-time k-space spatial frequency Doppler radar tomography k-space augmentation high-resolution narrowband radar multiband processing bandwidth stitching multi-scale representation learning (MSRL) pyramid pooling module (PPM) compact depth-wise separable convolution (CSeConv) convolution auto-encoder (CAE) object classification CARABAS II ground scene prediction image stack multi-pass SAR images moving targets inverse SAR (ISAR) motion compensation hybrid SAR/ISAR improved rank-one phase estimation (IROPE) Gaofen-3 (GF-3) assive radar time-frequency reassignment |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557350803321 |
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Samczynski Piotr
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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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Remote Sensing Data Compression
| Remote Sensing Data Compression |
| Autore | Lukin Vladimir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (366 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
on-board data compression
CCSDS 123.0-B-2 near-lossless hyperspectral image compression hyperspectral image coding graph filterbanks integer-to-integer transforms graph signal processing compact data structure quadtree k2-tree k2-raster DACs 3D-CALIC M-CALIC hyperspectral images fully convolutional network semantic segmentation spectral image tensor decomposition HEVC intra coding JPEG 2000 high bit-depth compression multispectral satellite images crop classification Landsat-8 Sentinel-2 Elias codes Simple9 Simple16 PForDelta Rice codes hyperspectral scenes hyperspectral image lossy compression real time FPGA PCA JPEG2000 EBCOT multispectral hyperspectral CCSDS FAPEC data compression transform hyperspectral imaging on-board processing GPU real-time performance UAV parallel computing remote sensing image quality image classification visual quality metrics spectral–spatial feature multispectral image compression partitioned extraction group convolution rate-distortion compressed sensing invertible projection coupled dictionary singular value task-driven learning on board compression transform coding learned compression neural networks variational autoencoder complexity real-time compression on-board compression real-time transmission UAVs compressive sensing synthetic aperture sonar underwater sonar imaging remote sensing data compression lossless compression compression impact computational complexity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557383103321 |
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Lukin Vladimir
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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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The Future of Hyperspectral Imaging
| The Future of Hyperspectral Imaging |
| Autore | Selci Stefano |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (220 p.) |
| Soggetto non controllato |
information theoretic analysis
multiplexing system HSI for biology point target detection digital elevation model neural networks oxygen saturation black polymers PZT blood detection multivariate analysis integral imaging hemispherical conical reflectance factor (HCRF) sprouting fluorescence multitemporal hyperspectral images plant phenotyping hyperspectral data mining and compression Raman medical imaging by HSI compressive detection stereo imaging image processing wound healing quality control lossless compression infrared hyperspectral imaging spectral tracking time series remote sensing diabetic foot ulcer classification Raman spectroscopy imaging fingerprints fusion wavelength selection Cramer–Rao lower bound three-dimensional imaging chemical imaging CS-MUSI total variation coastal dynamics forward observation model hyperspectral imaging fluorescence hyperspectral imaging age determination potatoes painting samples predictive coding hyperspectral video bi-directional reflectance distribution function (BRDF) optimal binary filters watercolours deep learning spectroscopy moving vehicle imaging sorting maximum likelihood multivariate data analysis interval partial least squares disease detection Raman hyperspectral imaging primordial leaf count machine learning spatial light modulators (SLM) Virginia Coast Reserve Long Term Ecological Research (VCR LTER) digital micromirror device (DMD) hyperspectral microscopy alternating direction method of multipliers statistical methods for HSI multiband image fusion digital light processor (DLP) linear mixture model retouching pigments liquid crystal principal component analysis Chemometrics compressive sensing PLSR Hyperspectral imaging |
| ISBN | 3-03921-823-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367743103321 |
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Selci Stefano
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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