Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advances in Hyperspectral Data Exploitation
| Advances in Hyperspectral Data Exploitation |
| Autore | Chang Chein-I |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (434 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
hyperspectral image few-shot classification
deep learning meta-learning relation network convolutional neural network constrained-target optimal index factor band selection (CTOIFBS) hyperspectral image underwater spectral imaging system underwater hyperspectral target detection band selection (BS) constrained energy minimization (CEM) lightweight convolutional neural networks hyperspectral imagery classification transfer learning air temperature spatial measurement FTIR MWIR carbon dioxide absorption target detection coffee beans insect damage hyperspectral imaging band selection visualization color formation models multispectral image image fusion joint tensor decomposition anomaly detection constrained sparse representation hyperspectral imagery moving target detection spatio-temporal processing hyperspectral remote sensing image classification constraint representation superpixel segmentation multiscale decision fusion plug-and-play denoising nonlinear unmixing spectral reconstruction residual augmented attentional u-shape network spatial augmented attention channel augmented attention boundary-aware constraint atmospheric transmittance temperature emissivity separation midwave infrared hyperspectral images hyperspectral image super-resolution data fusion spectral-spatial residual network self-supervised training hyperspectral vegetation generative adversarial network data augmentation classification rice leaf blast hyperspectral imaging data deep convolutional neural networks fused features evolutionary computation heuristic algorithms machine learning unmanned aerial vehicles (UAVs) vegetation mapping upland swamps mine environment rice rice leaf folder hyperspectral image classification change detection self-supervised learning attention mechanism multi-source image fusion SFIM least square estimation spatial filter hyperspectral imaging (HSI) hyperspectral target detection hyperspectral reconstruction hyperspectral unmixing |
| ISBN | 3-0365-5796-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637782203321 |
Chang Chein-I
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Application of Multi-Sensor Fusion Technology in Target Detection and Recognition
| Application of Multi-Sensor Fusion Technology in Target Detection and Recognition |
| Autore | Heikkonen Jukka |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (168 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
target detection
multi-platform imaging spectral matching terrestrial-hyperspectral imagery automated image analysis spectral library multi-sensor fusion object detection deep learning convolutional neural networks autonomous vehicles marine environment co-operative autonomous multi-robot USV AUV semantic SLAM YOLOv3 object based map EKF specular reflection detection specular reflection inpainting transparent object multispectral polarimetric imagery light field maritime vessel dataset ship detection convolutional neural network autonomous marine navigation machine learning inversion ocean colour phytoplankton pigment vertical profile deep chlorophyll maximum Tara Oceans MAREDAT pigments ITCOMP-SOM Self Organizing Maps |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557613903321 |
|
Heikkonen Jukka
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bistatic HF Radar
| Bistatic HF Radar |
| Autore | Anderson Stuart |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (204 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
bistatic HF radar
radar cross section (RCS) sea clutter shore-to-air bistatic HF radar scattering coefficient Doppler spectra cyclic cross ambiguity function data fusion GPS multiple satellites collaboration passive detection HFSWR target tracking interacting multiple model extended Kalman filter track association extreme learning machine HF radar remote sensing inversion radar cross section bistatic radar directional wave spectrum bistatic HFSWR shipborne HFSWR first-order sea clutter experiment verification electromagnetic scattering radio oceanography OTH radar compact HFSWR bistatic configuration target detection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557296503321 |
|
Anderson Stuart
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hyperspectral Imaging and Applications
| Hyperspectral Imaging and Applications |
| Autore | Chang Chein-I |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (632 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
biodiversity
peatland vegetation type classification hyperspectral in situ measurements hyperspectral image (HSI) multiscale union regions adaptive sparse representation (MURASR) multiscale spatial information imaging spectroscopy airborne laser scanning minimum noise fraction class imbalance Africa agroforestry tree species hyperspectral unmixing endmember extraction band selection spectral variability prototype space ensemble learning rotation forest semi-supervised local discriminant analysis optical spectral region thermal infrared spectral region mineral mapping data integration HyMap AHS raw material remote sensing nonnegative matrix factorization data-guided constraints sparseness evenness hashing ensemble hierarchical feature hyperspectral classification band expansion process (BEP) constrained energy minimization (CEM) correlation band expansion process (CBEP) iterative CEM (ICEM) nonlinear band expansion (NBE) Otsu’s method sparse unmixing local abundance nuclear norm hyperspectral detection target detection sprout detection constrained energy minimization iterative algorithm adaptive window hyperspectral imagery recursive anomaly detection local summation RX detector (LS-RXD) sliding window band selection (BS) band subset selection (BSS) hyperspectral image classification linearly constrained minimum variance (LCMV) successive LCMV-BSS (SC LCMV-BSS) sequential LCMV-BSS (SQ LCMV-BSS) vicarious calibration reflectance-based method irradiance-based method Dunhuang site 90° yaw imaging terrestrial hyperspectral imaging vineyard water stress machine learning tree-based ensemble progressive sample processing (PSP) real-time processing image fusion hyperspectral image panchromatic image structure tensor image enhancement weighted fusion spectral mixture analysis fire severity AVIRIS deep belief networks deep learning texture feature enhancement band grouping hyperspectral compression lossy compression on-board compression orthogonal projections Gram–Schmidt orthogonalization parallel processing anomaly detection sparse coding KSVD hyperspectral images (HSIs) SVM composite kernel algebraic multigrid methods hyperspectral pansharpening panchromatic intrinsic image decomposition weighted least squares filter spectral-spatial classification label propagation superpixel semi-supervised learning rolling guidance filtering (RGF) graph deep pipelined background statistics high-level synthesis data fusion data unmixing hyperspectral imaging |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585941603321 |
|
Chang Chein-I
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities
| Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities |
| Autore | Li Tiancheng |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (266 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
clustering
data fusion target detection Grey Wolf Optimizer Fireworks Algorithm hybrid algorithm exploitation and exploration GNSS MIMU odometer state constraints simultaneous localization and mapping (SLAM) range-only SLAM sum of Gaussian (SoG) filter cooperative approach automatic fare collection system passenger flow forecasting time series decomposition singular spectrum analysis ensemble learning extreme learning machine wheeled mobile robot path panning laser simulator fuzzy logic laser range finder Wi-Fi camera sensor fusion local map odometry deep learning softmax decision-making classification sensor data Internet of Things extended target tracking gamma-Gaussian-inverse Wishart Poisson multi-Bernoulli mixture 5G IoT indoor positioning tracking localization navigation positioning accuracy single access point positioning fuzzy inference calibration car-following Takagi–Sugeno Kalman filter microscopic traffic model continuous-time model LoRa positioning LoRaWAN TDoA map matching compass automotive LFMCW radar radial velocity lateral velocity Doppler-frequency estimation waveform signal model tensor modeling smart community system power efficiency object-detection coprocessor histogram of oriented gradient support vector machine block-level once sliding detection window multi-shape detection-window |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557384803321 |
|
Li Tiancheng
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Wang Qi
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Wang Qi
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mathematics and Engineering
| Mathematics and Engineering |
| Autore | Li Mingheng |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (306 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
Phoronomics
mechanics kinetics kinematics direction cosines Euler angles space dynamics digital computation control systems control engineering industrial cyber-physical systems cyber-attacks neural network model predictive control nonlinear chemical processes network classification network evolution network symmetries Green’s symmetry problem network invariants network internal dynamics symmetry ensembles propensities energy opening capability security smart grid group signature anonymous signature autonomous vehicle target detection multi-sensors fusion YOLO linear response eigenvalue problem block methods weighted Golub-Kahan-Lanczos algorithm convergence analysis thick restart mining vibrating screen theoretical rigid body model spring failures diagnosis amplitudes change real-time optimization nonlinear processes process control chemical reactor control distillation column control energy-based control payload swing attenuation linear matrix inequalities quadrotor larger Lipschitz constants comparative advantage transaction cost specialized production infra-marginal model agricultural division of labor velocity-slip temperature-jump homotopy analysis method nanofluids power-law fluids state estimation parameter estimation moving horizon estimation extended kalman filter ensemble kalman filter richards equation agro-hydrological systems economic model predictive control chemical processes responsive control artificial intelligence interpretability controller verification seashore soft soil cement sulfuric acid erosion stress–strain behavior mathematical model Micro Grid optimization theory optimization MATLAB simulation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557474903321 |
|
Li Mingheng
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Microwave Sensing and Imaging
| Microwave Sensing and Imaging |
| Autore | Randazzo Andrea |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (218 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
MW magnetic field
axial ratio polarization NV center two-dimensional radar imaging multiple-input multiple-output (MIMO) radar Particle Swarm Optimization (PSO) imaging plane calibration algorithm (IPCA) microwave tomography stroke detection DBIM linearized inverse scattering microwave imaging orbital angular momentum born approximation rytov approximation brain stroke monitoring antenna array electromagnetic scattering buried objects through-wall radar inverse scattering breast multipath dynamic range software defined radio leakage frequency-dimension scale terahertz measurements differential imaging numerical optimization block system inversion trade-off analysis medical MEMS wireless power transfer microwave thermography field illustration permittivity radar imaging target detection experimental measurements imaging wave propagation beam summation methods |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576872103321 |
|
Randazzo Andrea
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Stateczny Andrzej
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
