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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
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
Sustainable Agriculture and Advances of Remote Sensing (Volume 1)
Sustainable Agriculture and Advances of Remote Sensing (Volume 1)
Autore Paraforos Dimitrios
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (324 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato geographic information system (GIS)
pocket beaches
coastal management
Interreg
climate change
remote sensing
drone
Sicily
Malta
Gozo
Comino
systematic literature review
anomaly intrusion detection
deep learning
IoT
resource constraint
IDS
evapotranspiration
penman-monteith equation
artificial neural network
canopy conductance
Ziz basin
water quality
satellite image analysis
modeling approach
nitrate
dissolved oxygen
chlorophyll a
time series analysis
environmental monitoring
water extraction
modified normalized difference water index (MNDWI)
machine learning algorithm
hyperspectral
proximal sensing
panicle initiation
normalized difference vegetation index (NDVI)
green ring
internode-elongation
Sentinel 1 and 2
Copernicus Sentinels
crop classification
food security
agricultural monitoring
data analysis
SAR
random forest
3D bale wrapping method
equal bale dimensions
mathematical model
minimal film consumption
optimal bale dimensions
round bales
Sentinel-2
SVM
RF
Boufakrane River watershed
irrigation requirements
water resources
sustainable land use
agriculture
invasive plants
precision agriculture
rice farming
site-specific weed management
nitrogen prediction
1D convolution neural networks
cucumber
crop yield improvement
mango leaf
CCA
vein pattern
leaf disease
cubic SVM
chlorophyll-a concentration
transfer learning
overfitting
data augmentation
guava disease
plant disease detection
crops diseases
entropy
features fusion
machine learning
object-based classification
density estimation
histogram
land use
crop fields
soil tillage
data fusion
multispectral
sensor
probe
temperature profile
forest roads
simulation
autonomous robots
smart agriculture
environmental protection
photogrammetry
path planning
internet of things
modeling
convolutional neural networks
machine vision
computer vision
modular robot
selective spraying
vision-based crop and weed detection
Faster R-CNN
YOLOv5
band selection
CNN
NDVI
hyperspectral imaging
crops
urban flood
Sentinel-1a
Synthetic Aperture Radar (SAR)
3D Convolutional Neural Network
multi-temporal data
land use classification
GIS
Coatzacoalcos
algorithms
clustering
pest control
site-specific
virtual pests
rice plant
weed
hyperspectral imagery
sustainable agriculture
green technologies
Internet of Things
natural resources
sustainable environment
IoT ecosystem
hyperspectral remoting sensing
crop mapping
image classification
deep transfer learning
hyperparameter optimization
metaheuristic
soil attribute
ordinary Kriging
rational sampling numbers
spatial heterogeneity
sampling
soil pH
spatial variation
ordinary kriging
Land Use/Land Cover
LISS-III
Landsat
Vision Transformer
Bidirectional long-short term memory
Google Earth Engine
Explainable Artificial Intelligence
ISBN 3-0365-5338-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Sustainable Agriculture and Advances of Remote Sensing
Record Nr. UNINA-9910619464703321
Paraforos Dimitrios  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
Autore Paraforos Dimitrios
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (322 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato geographic information system (GIS)
pocket beaches
coastal management
Interreg
climate change
remote sensing
drone
Sicily
Malta
Gozo
Comino
systematic literature review
anomaly intrusion detection
deep learning
IoT
resource constraint
IDS
evapotranspiration
penman-monteith equation
artificial neural network
canopy conductance
Ziz basin
water quality
satellite image analysis
modeling approach
nitrate
dissolved oxygen
chlorophyll a
time series analysis
environmental monitoring
water extraction
modified normalized difference water index (MNDWI)
machine learning algorithm
hyperspectral
proximal sensing
panicle initiation
normalized difference vegetation index (NDVI)
green ring
internode-elongation
Sentinel 1 and 2
Copernicus Sentinels
crop classification
food security
agricultural monitoring
data analysis
SAR
random forest
3D bale wrapping method
equal bale dimensions
mathematical model
minimal film consumption
optimal bale dimensions
round bales
Sentinel-2
SVM
RF
Boufakrane River watershed
irrigation requirements
water resources
sustainable land use
agriculture
invasive plants
precision agriculture
rice farming
site-specific weed management
nitrogen prediction
1D convolution neural networks
cucumber
crop yield improvement
mango leaf
CCA
vein pattern
leaf disease
cubic SVM
chlorophyll-a concentration
transfer learning
overfitting
data augmentation
guava disease
plant disease detection
crops diseases
entropy
features fusion
machine learning
object-based classification
density estimation
histogram
land use
crop fields
soil tillage
data fusion
multispectral
sensor
probe
temperature profile
forest roads
simulation
autonomous robots
smart agriculture
environmental protection
photogrammetry
path planning
internet of things
modeling
convolutional neural networks
machine vision
computer vision
modular robot
selective spraying
vision-based crop and weed detection
Faster R-CNN
YOLOv5
band selection
CNN
NDVI
hyperspectral imaging
crops
urban flood
Sentinel-1a
Synthetic Aperture Radar (SAR)
3D Convolutional Neural Network
multi-temporal data
land use classification
GIS
Coatzacoalcos
algorithms
clustering
pest control
site-specific
virtual pests
rice plant
weed
hyperspectral imagery
sustainable agriculture
green technologies
Internet of Things
natural resources
sustainable environment
IoT ecosystem
hyperspectral remoting sensing
crop mapping
image classification
deep transfer learning
hyperparameter optimization
metaheuristic
soil attribute
ordinary Kriging
rational sampling numbers
spatial heterogeneity
sampling
soil pH
spatial variation
ordinary kriging
Land Use/Land Cover
LISS-III
Landsat
Vision Transformer
Bidirectional long-short term memory
Google Earth Engine
Explainable Artificial Intelligence
ISBN 3-0365-5336-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Sustainable Agriculture and Advances of Remote Sensing
Record Nr. UNINA-9910619464803321
Paraforos Dimitrios  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui