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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 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
Image and Video Processing and Recognition Based on Artificial Intelligence
Image and Video Processing and Recognition Based on Artificial Intelligence
Autore Park Kang Ryoung
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (431 p.)
Soggetto topico Technology: general issues
Soggetto non controllato emotion recognition
brain computer interface
bag of deep features
continuous wavelet transform
face image analysis
deep learning
face parsing
facial attributes classification
building extraction
convolutional neural networks
mask R-CNN
high-resolution remote sensing image
autoencoders
semi-supervised learning
computer vision
pathology
epidermis
skin
image processing
generative models
generative adversarial net
depth map
super-resolution
guidance
residual network
channel interaction
pose estimation
body orientation
multi-person
multi-task
surface defect detection
active learning
generative adversarial network
presentation attack detection
artificial image generation
presentation attack face images
ultrasound image
malignant thyroid nodule
artificial intelligence
weighted binary cross-entropy loss
infrared circumferential scanning system
target recognition
deep convolutional neural networks
data augmentation
transfer learning
bounding box regression
loss function
medical image fusion
convolutional neural network
image pyramid
multi-scale decomposition
armature
surface inspection
action recognition
social robotics
common spatial patterns
vehicle recognition
multi resolution network
optimization
semantic segmentation
global context
local context
fully convolutional networks
image-to-image conversion
image de-raining
label to photos
edges to photos
generative adversarial network (GAN)
remote sensing
helicopter footage
crowd counting
multitask learning
normalized cross-correlation
Marr wavelets
entropy and response
graph matching
RANSAC
GC–LSTM model
typhoon
satellite image
prediction system
monocular depth estimation
feature distillation
joint attention
finger-vein recognition
camera position
finger position
lighting
unobserved database
heterogeneous database
domain adaptation
cycle-consistent adversarial networks
SDUMLA-HMT-DB
HKPolyU-DB
biometrics
face recognition
single-sample face recognition
binarized statistical image features
K-nearest neighbors
sparse coding
fast approximation
homotopy iterative hard thresholding
object recognition
character recognition
orthogonal polynomials
orthogonal moments
Krawtchouk polynomials
Tchebichef polynomials
support vector machine
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557371203321
Park Kang Ryoung  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui