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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
Wang Qi  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Wang Qi  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning in Tribology
Machine Learning in Tribology
Autore Tremmel Stephan
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (208 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato amorphous carbon coatings
analysis
artificial intelligence
artificial neural networks
bearing fault diagnosis
BERT
cage instability
condition monitoring
Convolutional Neural Network (CNN)
data mining
databases
digital twin
dynamic friction
evolutionary algorithms
fault data generation
feature engineering
Gaussian processes
Generative Adversarial Network (GAN)
gradient boosting
laser surface texturing
machine learning
meta-modeling
monitoring
n/a
natural language processing
neural networks
optimization
PINN
prediction
random forest
random forest classifier
reduced order modelling
regression
remaining useful life
reynolds equation
rolling bearing dynamics
rolling bearings
rubber seal applications
self-lubricating journal bearings
semi-supervised learning
structure-borne sound
tensor decomposition
texturing during moulding
total knee replacement
tribAIn
tribo-informatics
tribo-testing
triboinformatics
tribology
UHWMPE
unbalanced datasets
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576887003321
Tremmel Stephan  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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 online resource (342 p.)
Soggetto topico Mathematics & science
Research & information: general
Soggetto non controllato "holographic implementations"
ABAQUS
actual systems
ANN
apolar transport
artificial neural network
Artificial Neural Network (ANN)
autonomous feature extraction
Catalonia
code-based modelling approach
complex system dynamics
Computational Fluid Dynamics (CFD)
computational solutions
computer simulations
control
Convolutional Neural Network (CNN)
COVID-19
crack
cubics
deep learning
Deep Learning (DL)
differentiability
dimensional analysis
double Lorentzian spectrum
ecological analysis
ecological coefficient of performance
Euler-Poincaré equation
exergy analysis
extended finite element method
extended iso-geometric analysis
finite time thermodynamic optimization
fractal hydrodynamic regimes
fractal kink
fractal Schrödinger regimes
fractal soliton
geometric analogy
harmonic mapping
harmonic mapping principle
heat transfer
helicopter model
hidden symmetries
high temperature proton exchange membrane fuel cell
HT-PEMFC
interphase section
irreversibility
Lagrange-d'Alembert principle
Lie group
machine learning
mechanics
model law
modeling
Monte Carlo simulation
n/a
nanowire cantilever
non-conservative dynamical system
notch
numerical analysis
partial aging in standby
PEM fuel cell
percolation onset
period doubling scenario
photovoltaics
pipe
pipeline
polymer CNTs systems
power density
qualitative and quantitative verification of simulation model
SARS-CoV-2
SDL
SEIRD (Susceptible, Exposed, Infected and Recovered and Death)
similarity theory
Sine-Gordon equations
SL (2R) group
solar energy
state probability functions
stochastic model
straight bar
stress difference method (SDM)
system of transcendental equation
T-stress
thermodynamic efficiency
thermophotovoltaics
transfer learning
turbulent flow
X-FEM
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566464403321
Scutaru Maria Luminița  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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 online resource (430 p.)
Soggetto topico Research and information: general
Soggetto non controllato acoustic infrasound
ash fall
ash plumes
Bezymianny
change detection
Convolutional Neural Network (CNN)
Digital Elevation Models
edifice growth and collapse
effusive activity
elevation model
EMI
emissivity
EO-1 ALI
eruption forecasting
eruptive style
Etna Volcano
explosive basaltic volcanism
FENIX
FireBIRD
fissural eruption
gas emission monitoring
gas emissions
GPR
Ground-Based InSAR
ground-based remote sensing
HDR geothermal systems
heat flux
hyperspectral
inflation
infrared live cam
infrared remote sensing
infrasonic activity
InSAR processing
inversion modelling
lahars hazard
Landsat 8
landslides
Láscar volcano
lava dome
lava field
lava flow
lava flow modeling
lava flow volume estimation
lava flows
lava fountain
long- and short-term precursors
LSMA
magma accumulation
magnetic anomalies
mapping
MODIS data
monitoring
MSG SEVIRI
Mt. Etna
Mt.Etna
Multi-GAS
multi-platform satellite observations
open-vent activity
optical sensors
PLEIADES
post-unrest deflation
precipitable water vapor
pyroclastic density currents
pyroclastic flows
radar path delay
radar pixel offsets
remote sensing
RSTVOLC
Santorini
SAR imaging
SAR interferometry
satellite remote sensing
scanning Mini-DOAS
Seasonal-Trend Decomposition
seasonality
seismic monitoring
Sentinel missions
SENTINEL-2 images
SMACC
small satellites
SO2 fluxes
SO2 gas emission
SPOT
Stromboli volcano
Synthetic Aperture Radar (SAR) imaging
TET-1
thermal anomalies
thermal imaging
thermal measurements
Timanfaya volcanic area
time series
UV Camera
Villarrica Volcano
Volcán de Colima
volcanic cloud
volcanic emissions
volcanic eruption interpretation
volcanic gases
volcanic hazard
volcanic thermal anomalies
volcanic unrest
volcano deformation
volcano monitoring
volcano remote sensing
wavelet
X-band InSAR
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557757503321
Cigna Francesca  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui