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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 |
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 Tribology
| Machine Learning in Tribology |
| Autore | Tremmel Stephan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (208 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
artificial intelligence
machine learning artificial neural networks tribology condition monitoring semi-supervised learning random forest classifier self-lubricating journal bearings reduced order modelling dynamic friction rubber seal applications tensor decomposition laser surface texturing texturing during moulding digital twin PINN reynolds equation triboinformatics databases data mining meta-modeling monitoring analysis prediction optimization fault data generation Convolutional Neural Network (CNN) Generative Adversarial Network (GAN) bearing fault diagnosis unbalanced datasets tribo-testing tribo-informatics natural language processing tribAIn BERT amorphous carbon coatings UHWMPE total knee replacement Gaussian processes rolling bearing dynamics cage instability regression neural networks random forest gradient boosting evolutionary algorithms rolling bearings remaining useful life feature engineering structure-borne sound |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576887003321 |
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Tremmel Stephan
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical Modeling and Simulation in Mechanics and Dynamic Systems
| Mathematical Modeling and Simulation in Mechanics and Dynamic Systems |
| Autore | Scutaru Maria Luminița |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (342 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
T-stress
X-FEM notch pipe stress difference method (SDM) system of transcendental equation computational solutions code-based modelling approach numerical analysis Sine-Gordon equations photovoltaics thermophotovoltaics solar energy polymer CNTs systems interphase section percolation onset mechanics high temperature proton exchange membrane fuel cell exergy analysis ecological analysis ecological coefficient of performance SARS-CoV-2 COVID-19 SEIRD (Susceptible, Exposed, Infected and Recovered and Death) SDL Catalonia nanowire cantilever stochastic model double Lorentzian spectrum HT-PEMFC irreversibility finite time thermodynamic optimization power density thermodynamic efficiency geometric analogy similarity theory dimensional analysis model law heat transfer straight bar Deep Learning (DL) Computational Fluid Dynamics (CFD) Artificial Neural Network (ANN) Convolutional Neural Network (CNN) turbulent flow machine learning deep learning artificial neural network ANN PEM fuel cell modeling control differentiability fractal hydrodynamic regimes fractal Schrödinger regimes fractal soliton fractal kink "holographic implementations" cubics apolar transport harmonic mapping principle period doubling scenario state probability functions partial aging in standby Monte Carlo simulation qualitative and quantitative verification of simulation model Lagrange-d'Alembert principle non-conservative dynamical system Euler-Poincaré equation helicopter model Lie group extended iso-geometric analysis extended finite element method crack pipeline ABAQUS harmonic mapping complex system dynamics SL (2R) group hidden symmetries computer simulations actual systems transfer learning autonomous feature extraction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566464403321 |
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Scutaru Maria Luminița
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Volcanic Processes and Risk
| Remote Sensing of Volcanic Processes and Risk |
| Autore | Cigna Francesca |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (430 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
volcanic thermal anomalies
change detection Villarrica Volcano small satellites FireBIRD TET-1 gas emission monitoring X-band InSAR scanning Mini-DOAS Multi-GAS volcanic gases precipitable water vapor radar path delay Láscar volcano Mt. Etna multi-platform satellite observations RSTVOLC Stromboli volcano landslides effusive activity Ground-Based InSAR infrared live cam seismic monitoring PLEIADES Digital Elevation Models optical sensors volcano remote sensing volcano deformation SAR interferometry post-unrest deflation inversion modelling Santorini hyperspectral FENIX lava field SMACC LSMA volcano monitoring thermal imaging time series Seasonal-Trend Decomposition heat flux emissivity lava flow modeling remote sensing volcanic eruption interpretation eruption forecasting MSG SEVIRI wavelet thermal measurements lava fountain lava flow Mt.Etna eruptive style Timanfaya volcanic area HDR geothermal systems GPR EMI magnetic anomalies seasonality lahars hazard magma accumulation pyroclastic flows ash plumes volcanic cloud Landsat 8 elevation model Volcán de Colima lava flow volume estimation SPOT EO-1 ALI MODIS data SENTINEL-2 images infrasonic activity open-vent activity fissural eruption long- and short-term precursors SO2 fluxes UV Camera Etna Volcano explosive basaltic volcanism Bezymianny monitoring lava dome inflation SAR imaging radar pixel offsets acoustic infrasound volcanic emissions ground-based remote sensing Sentinel missions Convolutional Neural Network (CNN) Synthetic Aperture Radar (SAR) imaging InSAR processing infrared remote sensing SO2 gas emission satellite remote sensing ash fall lava flows pyroclastic density currents mapping volcanic hazard gas emissions edifice growth and collapse volcanic unrest thermal anomalies |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557757503321 |
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Cigna Francesca
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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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