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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 online resource (632 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 90° yaw imaging
adaptive window
Africa
agroforestry
AHS
airborne laser scanning
algebraic multigrid methods
anomaly detection
AVIRIS
band expansion process (BEP)
band grouping
band selection
band selection (BS)
band subset selection (BSS)
biodiversity
class imbalance
classification
composite kernel
constrained energy minimization
constrained energy minimization (CEM)
correlation band expansion process (CBEP)
data fusion
data integration
data unmixing
data-guided constraints
deep belief networks
deep learning
deep pipelined background statistics
Dunhuang site
endmember extraction
ensemble learning
evenness
fire severity
Gram-Schmidt orthogonalization
graph
hashing ensemble
hierarchical feature
high-level synthesis
HyMap
hyperspectral
hyperspectral classification
hyperspectral compression
hyperspectral detection
hyperspectral image
hyperspectral image (HSI)
hyperspectral image classification
hyperspectral imagery
hyperspectral images (HSIs)
hyperspectral imaging
hyperspectral pansharpening
hyperspectral unmixing
image enhancement
image fusion
imaging spectroscopy
in situ measurements
intrinsic image decomposition
irradiance-based method
iterative algorithm
iterative CEM (ICEM)
KSVD
label propagation
linearly constrained minimum variance (LCMV)
local abundance
local summation RX detector (LS-RXD)
lossy compression
machine learning
mineral mapping
minimum noise fraction
multiscale spatial information
multiscale union regions adaptive sparse representation (MURASR)
nonlinear band expansion (NBE)
nonnegative matrix factorization
nuclear norm
on-board compression
optical spectral region
orthogonal projections
Otsu's method
panchromatic
panchromatic image
parallel processing
peatland
progressive sample processing (PSP)
prototype space
raw material
real-time processing
recursive anomaly detection
reflectance-based method
remote sensing
rolling guidance filtering (RGF)
rotation forest
semi-supervised learning
semi-supervised local discriminant analysis
sequential LCMV-BSS (SQ LCMV-BSS)
sliding window
sparse coding
sparse unmixing
sparseness
spectral mixture analysis
spectral variability
spectral-spatial classification
sprout detection
structure tensor
successive LCMV-BSS (SC LCMV-BSS)
superpixel
SVM
target detection
terrestrial hyperspectral imaging
texture feature enhancement
thermal infrared spectral region
tree species
tree-based ensemble
vegetation type
vicarious calibration
vineyard
water stress
weighted fusion
weighted least squares filter
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
Principles and Applications of Data Science
Principles and Applications of Data Science
Autore Liu Chuan-Ming
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (168 p.)
Soggetto topico History of engineering and technology
Technology: general issues
Soggetto non controllato air pollution
behaviour network
behaviour sequence pattern
classification
combined classification model
convolutional neural network
corpus data
crop production prediction
data mining
deep learning
deep transfer learning
dictionary
digitization
electronic health records
fair exchange
feature fusion
fine-tuning
focal-segmental
forward secrecy
graph neural network
image classification
Internet of Things
kidney disease
kidney glomeruli
lexical data
linguistic linked open data
medical image
mining
mobile application
neuro-fuzzy
peasant farming
PM10
PM2.5
prediction model
predictive analytics
raw material
sclerosed glomeruli
self-attention mechanism
similar user recommendation
smart farming system
supervised
terminology
terminology application
user preference learning
water crystal
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580211103321
Liu Chuan-Ming  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui