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Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
Autore Bazi Yakoub
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (438 p.)
Soggetto topico Research & information: general
Soggetto non controllato synthetic aperture radar
despeckling
multi-scale
LSTM
sub-pixel
high-resolution remote sensing imagery
road extraction
machine learning
DenseUNet
scene classification
lifting scheme
convolution
CNN
image classification
deep features
hand-crafted features
Sinkhorn loss
remote sensing
text image matching
triplet networks
EfficientNets
LSTM network
convolutional neural network
water identification
water index
semantic segmentation
high-resolution remote sensing image
pixel-wise classification
result correction
conditional random field (CRF)
satellite
object detection
neural networks
single-shot
deep learning
global convolution network
feature fusion
depthwise atrous convolution
high-resolution representations
ISPRS vaihingen
Landsat-8
faster region-based convolutional neural network (FRCNN)
single-shot multibox detector (SSD)
super-resolution
remote sensing imagery
edge enhancement
satellites
open-set domain adaptation
adversarial learning
min-max entropy
pareto ranking
SAR
Sentinel–1
Open Street Map
U–Net
desert
road
infrastructure
mapping
monitoring
deep convolutional networks
outline extraction
misalignments
nearest feature selector
hyperspectral image classification
two stream residual network
Batch Normalization
plant disease detection
precision agriculture
UAV multispectral images
orthophotos registration
3D information
orthophotos segmentation
wildfire detection
convolutional neural networks
densenet
generative adversarial networks
CycleGAN
data augmentation
pavement markings
visibility
framework
urban forests
OUDN algorithm
object-based
high spatial resolution remote sensing
Generative Adversarial Networks
post-disaster
building damage assessment
anomaly detection
Unmanned Aerial Vehicles (UAV)
xBD
feature engineering
orthophoto
unsupervised segmentation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557747903321
Bazi Yakoub  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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
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Advances in Remote Sensing-based Disaster Monitoring and Assessment
Advances in Remote Sensing-based Disaster Monitoring and Assessment
Autore Im Jungho
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (232 p.)
Soggetto topico Research & information: general
Soggetto non controllato wildfire
satellite vegetation indices
live fuel moisture
empirical model function
Southern California
chaparral ecosystem
forest fire
forest recovery
satellite remote sensing
vegetation index
burn index
gross primary production
South Korea
land subsidence
PS-InSAR
uneven settlement
building construction
Beijing urban area
floodplain delineation
inaccessible region
machine learning
flash flood
risk
LSSVM
China
Himawari-8
threshold-based algorithm
remote sensing
dryness monitoring
soil moisture
NIR-Red spectral space
Landsat-8
MODIS
Xinjiang province of China
SDE
PE
groundwater level
compressible sediment layer
tropical cyclone formation
WindSat
disaster monitoring
wireless sensor network
debris flow
anomaly detection
deep learning
accelerometer sensor
total precipitable water
Himawari-8 AHI
random forest
deep neural network
XGBoost
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557765003321
Im Jungho  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applied Mathematics and Computational Physics
Applied Mathematics and Computational Physics
Autore Wood Aihua
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (273 p.)
Soggetto topico Research & information: general
Mathematics & science
Soggetto non controllato radial basis functions
finite difference methods
traveling waves
non-uniform grids
chaotic oscillator
one-step method
multi-step method
computer arithmetic
FPGA
high strain rate impact
modeling and simulation
smoothed particle hydrodynamics
finite element analysis
hybrid nanofluid
heat transfer
non-isothermal
shrinking surface
MHD
radiation
multilayer perceptrons
quaternion neural networks
metaheuristic optimization
genetic algorithms
micropolar fluid
constricted channel
MHD pulsatile flow
strouhal number
flow pulsation parameter
multiple integral finite volume method
finite difference method
Rosenau-KdV
conservation
solvability
convergence
transmission electron microscopy (TEM)
convolutional neural networks (CNN)
anomaly detection
principal component analysis (PCA)
machine learning
deep learning
neural networks
Gallium-Arsenide (GaAs)
radiation-based flowmeter
two-phase flow
feature extraction
artificial intelligence
time domain
Boltzmann equation
collision integral
convolutional neural network
annular regime
scale layer-independent
petroleum pipeline
volume fraction
dual energy technique
prescribed heat flux
similarity solutions
dual solutions
stability analysis
RBF-FD
node sampling
lebesgue constant
complex regions
finite-difference methods
data assimilation
model order reduction
finite elements analysis
high dimensional data
welding
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557337303321
Wood Aihua  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Archaeological Remote Sensing in the 21st Century: (Re)Defining Practice and Theory
Archaeological Remote Sensing in the 21st Century: (Re)Defining Practice and Theory
Autore Verhoeven Geert
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (218 p.)
Soggetto topico Biography & True Stories
Archaeology
Soggetto non controllato relief mapping
visualization
blend modes
digital elevation model
airborne laser scanning
lidar
archaeological prospection
deep learning
citizen science
The Netherlands
archaeology
arid environments
satellite remote sensing
lithological mapping
lithic procurement
chert sourcing
Landsat 8
GIS
ALS
amplitude
radiometric calibration
reflectance
Sicily
transfer learning
historic mining
heritage management
LiDAR
hyperspectral data
submerged areas
cultural heritage monitoring
anomaly detection
MNF
radiative transfer model
Martin Heidegger
technology
mimesis
remote sensing archaeology
cultural context
archaeological remote sensing
satellite mission design
satellite archaeology
archaeological survey
cropmarks
empirical knowledge
alluvial sediments
geomorphological/pedological background
soil spatial infrastructure
statistical methods
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Archaeological Remote Sensing in the 21st Century
Record Nr. UNINA-9910674394303321
Verhoeven Geert  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
Industry and Tertiary Sectors towards Clean Energy Transition
Industry and Tertiary Sectors towards Clean Energy Transition
Autore Toro Claudia
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (248 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato anomaly detection
principal component analysis
Monte Carlo simulation
PV cell production line
predictive maintenance
energy audits (EAs)
energy management systems
energy performance improved actions (EPIAs)
energy efficiency
manufacturing industry
tertiary sector
EES systems
greenhouse gas
load leveling
best-mix solution
optimal operation algorithm
optimization
organic rankine cycle
steam rankine cycle
energy analysis
economic analysis
environmental analysis
clean energy technologies
European Green Deal
fit for 55
patent family
rarity index
revealed technological advantages
technological sovereignty
energy performance indicators (EnPI)
specific energy consumption (SEC)
energy management
industry
cement
energy transition
energy-saving technologies
foundry manufacturing plant
Italian overview
energy efficiency improvements
waste heat recovery
waste heat survey
dairy industry
oil refining
refineries
EnPIs
health sector
energy audit
energy efficiency in economic sectors
clean-energy technologies
energy policies and regulations
financial instruments
decarbonisation
renewable energy sources
ISBN 3-0365-4904-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619465203321
Toro Claudia  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Information Theory and Its Application in Machine Condition Monitoring
Information Theory and Its Application in Machine Condition Monitoring
Autore Li Yongbo
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (194 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato fault detection
deep learning
transfer learning
anomaly detection
bearing
wind turbines
misalignment
fault diagnosis
information fusion
improved artificial bee colony algorithm
LSSVM
D-S evidence theory
optimal bandwidth
kernel density estimation
JS divergence
domain adaptation
partial transfer
subdomain
rotating machinery
gearbox
signal interception
peak extraction
cubic spline interpolation envelope
combined fault diagnosis
empirical wavelet transform
grey wolf optimizer
low pass FIR filter
support vector machine
satellite momentum wheel
Huffman-multi-scale entropy (HMSE)
support vector machine (SVM)
adaptive particle swarm optimization (APSO)
rail surface defect detection
machine vision
YOLOv4
MobileNetV3
multi-source heterogeneous fusion
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566460803321
Li Yongbo  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Information Theory and Machine Learning
Information Theory and Machine Learning
Autore Zheng Lizhong
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (254 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato supervised classification
independent and non-identically distributed features
analytical error probability
empirical risk
generalization error
K-means clustering
model compression
population risk
rate distortion theory
vector quantization
overfitting
information criteria
entropy
model-based clustering
merging mixture components
component overlap
interpretability
time series prediction
finite state machines
hidden Markov models
recurrent neural networks
reservoir computers
long short-term memory
deep neural network
information theory
local information geometry
feature extraction
spiking neural network
meta-learning
information theoretic learning
minimum error entropy
artificial general intelligence
closed-loop transcription
linear discriminative representation
rate reduction
minimax game
fairness
HGR maximal correlation
independence criterion
separation criterion
pattern dictionary
atypicality
Lempel–Ziv algorithm
lossless compression
anomaly detection
information-theoretic bounds
distribution and federated learning
ISBN 3-0365-5308-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619463403321
Zheng Lizhong  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Innovative Technologies and Services for Smart Cities
Innovative Technologies and Services for Smart Cities
Autore Islam Tarikul
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (214 p.)
Soggetto non controllato data mining algorithms
pressure sensors
proactive content delivery
Elman neural network
cockroaches
capacitive sensor
renewable energy
indoor comfort
impedance measurement
Internet of things (IoT)
context awareness
redundant capacity
city behavior
secondary traffic
SDN
ontology
bi-reflector solar PV system (BRPVS)
air quality
ontology development
assistive living
sol-gel technique
decision support system
ambient assisted living
LCC converter
insect surveillance
sensitivity
wireless sensor node (WSN)
unpowered
load balancing
wireless sensor network
dynamic range
solar
anomaly detection
location-based social networks
real-time assessment
porous alumina
IoT
building integrated photovoltaics (BIPV)
carbon nanotubes
six-port structure
domestic environment reconfiguration
half bridge
smart mat
cloud computing
differentiated services
reflection-based
nanocomposite sensor
ppm
chemical sensors
sensor systems and applications
tensile testing
WSN
smart traps
ontology-based application
hotel room comfort
ISBN 3-03921-182-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367564503321
Islam Tarikul  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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