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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 online resource (120 p.) |
| Soggetto topico |
Physics
Research & information: general |
| Soggetto non controllato |
compressive sensing
conditional states confidence amplification Gao's forgery integrated photonics lossy transmission channels mesoscopic quantum states of light n/a nonclassical photon-number correlations nonclassicality nonlinear interferometer optical cross-talk periodic languages photodetection plenoptic imaging quantum correlations quantum finite automata quantum fisher information quantum imaging quantum message authentication quantum optics quantum simulation quantum state engineering quantum three-pass protocol silicon photomultipliers SPAD arrays spontaneous four-wave mixing swap test |
| 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 1 / Qi Wang
| Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (414 pages) |
| Soggetto topico | Computer science |
| 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 |
9783038976851
3038976857 |
| 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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Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang
| Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang |
| 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 |
9783038976998
3038976997 |
| 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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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 online resource (302 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
activity recognition
artificial neural network BLDC BP artificial neural network burr formation capacitive chaotic system color prior model compressive sensing computer vision coniferous plantations convex optimization convolutional neural network cut interruption deep learning display electric machine protection explainable artificial intelligence extrinsic camera calibration fiber laser forest growing stem volume fuzzy image classification image denoising image encryption imbalanced activities intelligent vehicles laser cutting machine learning machine learning-based classification marine maximum likelihood estimation mixed Poisson-Gaussian likelihood modulation transfer function Naïve bayes neural network noisy non-uniform foundation object detection obstacle avoidance on-shelf availability path planning piston error detection plaintext related plankton Q-learning quality monitoring random forest real-world red-edge band reinforcement learning risk assessment robot arm sampling methods segmented telescope semi-supervised semi-supervised learning SNR star image stochastic analysis structure from motion stylus target reaching temperature estimation texture feature touchscreen transmission-line corridors variable selection vehicle-pavement-foundation interaction wearable sensors wildfire YOLO algorithm |
| 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 online resource (196 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
Airborne SAR
antenna arrays back projection algorithm coherence factor compressive sensing computational burden corner reflector crop growth deficit map differential interferometry Digital Elevation Model (DEM) DInSAR drone-borne radar extended back-projection algorithm fifth-order motion parameter model forward-looking GPR frequency-domain processing Frequency-Modulated Continuous-Wave (FMCW) global positioning systems helicopter-borne radar high resolution high-resolution highly-squinted inverse scattering linear scattering models lunar exploration lunar penetrating radar lunar regolith modeling maneuvers microwave imaging MIMO radar n/a near-field P-Band precision agriculture radar imaging range-Doppler processor SAR Interferometry SFCW signal processing Sounder sparse array spatial variation surface clutter Synthetic Aperture Radar (SAR) through-wall imaging topography variations UHF and VHF bands ultrawideband signal unmanned aerial vehicle Vivaldi antenna |
| 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 online resource (394 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
analogue correlation
ASIFT assive radar azimuth multichannel reconstruction bandwidth stitching bistatic radar bistatic synthetic aperture radar (SAR) CARABAS II chirp rate estimation compact depth-wise separable convolution (CSeConv) compressed sensing compressive sensing convolution auto-encoder (CAE) damped exponential (DE) model delay line Despeckling Filter distributed MIMO radar Doppler radar tomography double-sided bistatic range (BR) false targets suppression forward scattering radar gain-phase errors Gaofen-3 (GF-3) ground scene prediction ground-penetrating radar Hankel matrix high pulse repetition frequency (HPRF) high resolution wide swath (HRWS) high-resolution narrowband radar hybrid SAR/ISAR hyperbolic approximation hypersonic aircraft image stack improved rank-one phase estimation (IROPE) inverse SAR (ISAR) inverse synthetic aperture radar (ISAR) Iterative Closest Point k-space augmentation k-space tomography microwave staring correlated imaging microwave staring correlated imaging (MSCI) MIMO radar modern radar applications modified omega-K motion compensation motion parameter fitting moving targets multi-pass multi-scale representation learning (MSRL) multiband processing narrowband radar Navigation noise radar noise suppression object classification off-grid compressive sensing orthogonal matching pursuit (OMP) parameter-refined orthogonal matching pursuit (PROMP) passive forward scattering radar passive radar phase center adaptation phase compensation polarimetric position error pyramid pooling module (PPM) radar imaging radar measurements radar signal processing techniques radar signatures radar tomography random frequency hopping (RFH) regularization SAR SAR images SAR tomography self-calibration singular value decomposition slow-time k-space sparse reconstruction sparse representation spatial frequency state-space approach (SSA) strip Structure from Motion synthetic aperture radar Synthetic Aperture Radar synthetic aperture radar (SAR) target localization time-frequency analysis time-frequency reassignment unsteady aerostat platform window length optimization |
| 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 online resource (366 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D-CALIC
CCSDS CCSDS 123.0-B-2 compact data structure complexity compressed sensing compression impact compressive sensing computational complexity coupled dictionary crop classification DACs data compression EBCOT Elias codes FAPEC FPGA fully convolutional network GPU graph filterbanks graph signal processing group convolution HEVC high bit-depth compression hyperspectral hyperspectral image hyperspectral image coding hyperspectral images hyperspectral imaging hyperspectral scenes image classification image quality integer-to-integer transforms intra coding invertible projection JPEG 2000 JPEG2000 k2-raster k2-tree Landsat-8 learned compression lossless compression lossy compression M-CALIC multispectral multispectral image compression multispectral satellite images near-lossless hyperspectral image compression neural networks on board compression on-board compression on-board data compression on-board processing parallel computing partitioned extraction PCA PForDelta quadtree rate-distortion real time real-time compression real-time performance real-time transmission remote sensing remote sensing data compression Rice codes semantic segmentation Sentinel-2 Simple16 Simple9 singular value spectral image spectral-spatial feature synthetic aperture sonar task-driven learning tensor decomposition transform transform coding UAV UAVs underwater sonar imaging variational autoencoder visual quality metrics |
| 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 online resource (220 p.) |
| Soggetto topico | Chemistry |
| Soggetto non controllato |
age determination
alternating direction method of multipliers bi-directional reflectance distribution function (BRDF) black polymers blood detection chemical imaging Chemometrics classification coastal dynamics compressive detection compressive sensing Cramer-Rao lower bound CS-MUSI deep learning diabetic foot ulcer digital elevation model digital light processor (DLP) digital micromirror device (DMD) disease detection fingerprints fluorescence fluorescence hyperspectral imaging forward observation model fusion hemispherical conical reflectance factor (HCRF) HSI for biology hyperspectral hyperspectral data mining and compression hyperspectral imaging Hyperspectral imaging hyperspectral microscopy image processing imaging information theoretic analysis infrared hyperspectral imaging integral imaging interval partial least squares linear mixture model liquid crystal lossless compression machine learning maximum likelihood medical imaging by HSI moving vehicle imaging multiband image fusion multiplexing system multitemporal hyperspectral images multivariate analysis multivariate data analysis neural networks optimal binary filters oxygen saturation painting samples plant phenotyping PLSR point target detection potatoes predictive coding primordial leaf count principal component analysis PZT quality control Raman Raman hyperspectral imaging Raman spectroscopy remote sensing retouching pigments sorting spatial light modulators (SLM) spectral tracking spectroscopy sprouting statistical methods for HSI stereo imaging three-dimensional imaging time series total variation video Virginia Coast Reserve Long Term Ecological Research (VCR LTER) watercolours wavelength selection wound healing |
| 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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