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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 online resource (434 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato air temperature
anomaly detection
atmospheric transmittance
attention mechanism
band selection
band selection (BS)
boundary-aware constraint
carbon dioxide absorption
change detection
channel augmented attention
classification
coffee beans
color formation models
constrained energy minimization (CEM)
constrained sparse representation
constrained-target optimal index factor band selection (CTOIFBS)
constraint representation
convolutional neural network
data augmentation
data fusion
deep convolutional neural networks
deep learning
denoising
emissivity
evolutionary computation
FTIR
fused features
generative adversarial network
heuristic algorithms
hyperspectral
hyperspectral image
hyperspectral image classification
hyperspectral image few-shot classification
hyperspectral image super-resolution
hyperspectral imagery
hyperspectral imagery classification
hyperspectral images
hyperspectral imaging
hyperspectral imaging (HSI)
hyperspectral imaging data
hyperspectral reconstruction
hyperspectral remote sensing
hyperspectral target detection
hyperspectral unmixing
image classification
image fusion
insect damage
joint tensor decomposition
least square estimation
lightweight convolutional neural networks
machine learning
meta-learning
midwave infrared
mine environment
moving target detection
multi-source image fusion
multiscale decision fusion
multispectral image
MWIR
nonlinear unmixing
plug-and-play
relation network
residual augmented attentional u-shape network
rice
rice leaf blast
rice leaf folder
self-supervised learning
self-supervised training
separation
SFIM
spatial augmented attention
spatial filter
spatial measurement
spatio-temporal processing
spectral reconstruction
spectral-spatial residual network
superpixel segmentation
target detection
temperature
transfer learning
underwater hyperspectral target detection
underwater spectral imaging system
unmanned aerial vehicles (UAVs)
upland swamps
vegetation
vegetation mapping
visualization
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 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