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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
Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
Autore Vohland Michael
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (218 p.)
Soggetto topico Research & information: general
Soggetto non controllato hyperspectral
topographic correction
atmospheric correction
radiometric correction
long-range
long-distance
Structure from Motion (SfM)
photogrammetry
mineral mapping
minimum wavelength mapping
Maarmorilik
Riotinto
Hyperspectral image
bio-optical algorithm
phycocyanin
chlorophyll-a
mangrove species classification
close-range hyperspectral imaging
field hyperspectral measurement
waveband selection
machine learning
instrument development
spectroradiometry
telescope
receiver
soil
soil salinity
unmanned aerial vehicle
hyperspectral imager
random forest regression
electromagnetic induction
hyperspectral imaging
tree species
multiple classifier fusion
convolutional neural network
random forest
rotation forest
sea ice
ice algae
biomass
fine-scale
under-ice
underwater
antarctica
structure from motion
georectification
mosaicking
push-broom
UAV
chlorophyll a
colored dissolved organic matter
in situ measurements
vertical distribution
water column
snapshot hyperspectral imaging
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557368003321
Vohland Michael  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
Autore Kisi Ozgur
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (238 p.)
Soggetto topico Research & information: general
Soggetto non controllato groundwater
artificial intelligence
hydrologic model
groundwater level prediction
machine learning
principal component analysis
spatiotemporal variation
uncertainty analysis
hydroinformatics
support vector machine
big data
artificial neural network
nitrogen compound
nitrogen prediction
prediction models
neural network
non-linear modeling
PACF
WANN
SVM-LF
SVM-RF
Govindpur
streamflow forecasting
Bayesian model averaging
multivariate adaptive regression spline
M5 model tree
Kernel extreme learning machines
South Korea
uncertainty
sustainability
prediction intervals
ungauged basin
streamflow simulation
satellite precipitation
atmospheric reanalysis
ensemble modeling
additive regression
bagging
dagging
random subspace
rotation forest
flood routing
Muskingum method
extension principle
calibration
fuzzy sets and systems
particle swarm optimization
EEFlux
irrigation performance
CWP
water conservation
NDVI
water resources
Daymet V3
Google Earth Engine
improved extreme learning machine (IELM)
sensitivity analysis
shortwave radiation flux density
sustainable development
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557448103321
Kisi Ozgur  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Advances in Geographic Information System for Earth Sciences
Recent Advances in Geographic Information System for Earth Sciences
Autore Choi Yosoon
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (264 p.)
Soggetto topico Research & information: general
Soggetto non controllato mine safety
GIS-coupled
spatiotemporal model
LBM
methane gas emission
traffic flows
taxi trajectory
float cars
spatial community
transport system
land use
multi-functionality
production-living-ecology function
spatiotemporal dynamics
obstacle factors
Xiangxi
DEM grid cell size
efficiency
mountainous watersheds
optimized parameter set
TOPMODEL
social media
rainstorm event
spatiotemporal analysis
factor assessing
parallel algorithm
map overlay analysis
Hilbert ordering decomposition
spatial analysis
GIS vector map data
GIS vector map security
selective encryption
simplification method and cryptography
geo-sensor framework
geo-sensor platform (GIS)
sensor networks
do-it-yourself (DIY)
landslide susceptibility mapping
ensemble techniques
functional trees
bagging
rotation forest
dagging
algorithm
cognition
computer languages
eye-tracking measurement
gaze tracking
human-computer interaction
open source software
symbols
visualisation
Geographic information systems
mine planning
mine development
mine operation
environmental management
mine reclamation
Indian Himalayas
landslides
GIS
remote sensing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557575203321
Choi Yosoon  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui