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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
Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019
Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019
Autore Matese Alessandro
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (184 p.)
Soggetto topico Biology, life sciences
Forestry & related industries
Research & information: general
Soggetto non controllato Accuracy Assessment
ancient trees measurement
biomass evaluation
burn severity
Castanea sativa
central Oregon
classification
convolutional neural network
convolutional neural network (CNN)
ecohydrology
end-to-end learning
establishment survey
forest fire
forest inventory
forest modeling
forest regeneration
Forest Sampling
forestry applications
hyperspectral imagery
image processing
juniper woodlands
leaf-off
leaf-on
machine learning
Mauritia flexuosa
multispectral classification
multispectral image
object-based image analysis (OBIA)
photogrammetric point clouds
Photogrammetry
precision agriculture
precision forestry
rangelands
Reference Data
reforestation
remote sensing
Remote Sensing
reproduction
RGB imagery
Robinia pseudoacacia L.
seedling detection
seedling stand inventorying
semantic segmentation
short rotation coppice
spreading
structure from motion (SfM)
Thematic Mapping
tree age prediction
UAV
UAV photogrammetry
unmanned aerial system (UAS)
unmanned aerial systems
Unmanned Aerial Systems (UAS)
unmanned aerial vehicles
unmanned aerial vehicles (UAV)
Unmanned Aerial Vehicles (UAV)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Forestry Applications of Unmanned Aerial Vehicles
Record Nr. UNINA-9910557112103321
Matese Alessandro  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
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
Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang
Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang
Autore Wang Qi
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (414 pages)
Soggetto topico Computer science
Soggetto non controllato metadata
image classification
sensitivity analysis
ROI detection
residual learning
image alignment
adaptive convolutional kernels
Hough transform
class imbalance
land surface temperature
inundation mapping
multiscale representation
object-based
convolutional neural networks
scene classification
morphological profiles
hyperedge weight estimation
hyperparameter sparse representation
semantic segmentation
vehicle classification
flood
Landsat imagery
target detection
multi-sensor
building damage detection
optimized kernel minimum noise fraction (OKMNF)
sea-land segmentation
nonlinear classification
land use
SAR imagery
anti-noise transfer network
sub-pixel change detection
Radon transform
segmentation
remote sensing image retrieval
TensorFlow
convolutional neural network
particle swarm optimization
optical sensors
machine learning
mixed pixel
optical remotely sensed images
object-based image analysis
very high resolution images
single stream optimization
ship detection
ice concentration
online learning
manifold ranking
dictionary learning
urban surface water extraction
saliency detection
spatial attraction model (SAM)
quality assessment
Fuzzy-GA decision making system
land cover change
multi-view canonical correlation analysis ensemble
land cover
semantic labeling
sparse representation
dimensionality expansion
speckle filters
hyperspectral imagery
fully convolutional network
infrared image
Siamese neural network
Random Forests (RF)
feature matching
color matching
geostationary satellite remote sensing image
change feature analysis
road detection
deep learning
aerial images
image segmentation
aerial image
multi-sensor image matching
HJ-1A/B CCD
endmember extraction
high resolution
multi-scale clustering
heterogeneous domain adaptation
hard classification
regional land cover
hypergraph learning
automatic cluster number determination
dilated convolution
MSER
semi-supervised learning
gate
Synthetic Aperture Radar (SAR)
downscaling
conditional random fields
urban heat island
hyperspectral image
remote sensing image correction
skip connection
ISPRS
spatial distribution
geo-referencing
Support Vector Machine (SVM)
very high resolution (VHR) satellite image
classification
ensemble learning
synthetic aperture radar
conservation
convolutional neural network (CNN)
THEOS
visible light and infrared integrated camera
vehicle localization
structured sparsity
texture analysis
DSFATN
CNN
image registration
UAV
unsupervised classification
SVMs
SAR image
fuzzy neural network
dimensionality reduction
GeoEye-1
feature extraction
sub-pixel
energy distribution optimizing
saliency analysis
deep convolutional neural networks
sparse and low-rank graph
hyperspectral remote sensing
tensor low-rank approximation
optimal transport
SELF
spatiotemporal context learning
Modest AdaBoost
topic modelling
multi-seasonal
Segment-Tree Filtering
locality information
GF-4 PMS
image fusion
wavelet transform
hashing
machine learning techniques
satellite images
climate change
road segmentation
remote sensing
tensor sparse decomposition
Convolutional Neural Network (CNN)
multi-task learning
deep salient feature
speckle
canonical correlation weighted voting
fully convolutional network (FCN)
despeckling
multispectral imagery
ratio images
linear spectral unmixing
hyperspectral image classification
multispectral images
high resolution image
multi-objective
convolution neural network
transfer learning
1-dimensional (1-D)
threshold stability
Landsat
kernel method
phase congruency
subpixel mapping (SPM)
tensor
MODIS
GSHHG database
compressive sensing
ISBN 9783038976851
3038976857
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367755603321
Wang Qi  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang
Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang
Autore Wang Qi
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (363 pages)
Soggetto non controllato metadata
image classification
sensitivity analysis
ROI detection
residual learning
image alignment
adaptive convolutional kernels
Hough transform
class imbalance
land surface temperature
inundation mapping
multiscale representation
object-based
convolutional neural networks
scene classification
morphological profiles
hyperedge weight estimation
hyperparameter sparse representation
semantic segmentation
vehicle classification
flood
Landsat imagery
target detection
multi-sensor
building damage detection
optimized kernel minimum noise fraction (OKMNF)
sea-land segmentation
nonlinear classification
land use
SAR imagery
anti-noise transfer network
sub-pixel change detection
Radon transform
segmentation
remote sensing image retrieval
TensorFlow
convolutional neural network
particle swarm optimization
optical sensors
machine learning
mixed pixel
optical remotely sensed images
object-based image analysis
very high resolution images
single stream optimization
ship detection
ice concentration
online learning
manifold ranking
dictionary learning
urban surface water extraction
saliency detection
spatial attraction model (SAM)
quality assessment
Fuzzy-GA decision making system
land cover change
multi-view canonical correlation analysis ensemble
land cover
semantic labeling
sparse representation
dimensionality expansion
speckle filters
hyperspectral imagery
fully convolutional network
infrared image
Siamese neural network
Random Forests (RF)
feature matching
color matching
geostationary satellite remote sensing image
change feature analysis
road detection
deep learning
aerial images
image segmentation
aerial image
multi-sensor image matching
HJ-1A/B CCD
endmember extraction
high resolution
multi-scale clustering
heterogeneous domain adaptation
hard classification
regional land cover
hypergraph learning
automatic cluster number determination
dilated convolution
MSER
semi-supervised learning
gate
Synthetic Aperture Radar (SAR)
downscaling
conditional random fields
urban heat island
hyperspectral image
remote sensing image correction
skip connection
ISPRS
spatial distribution
geo-referencing
Support Vector Machine (SVM)
very high resolution (VHR) satellite image
classification
ensemble learning
synthetic aperture radar
conservation
convolutional neural network (CNN)
THEOS
visible light and infrared integrated camera
vehicle localization
structured sparsity
texture analysis
DSFATN
CNN
image registration
UAV
unsupervised classification
SVMs
SAR image
fuzzy neural network
dimensionality reduction
GeoEye-1
feature extraction
sub-pixel
energy distribution optimizing
saliency analysis
deep convolutional neural networks
sparse and low-rank graph
hyperspectral remote sensing
tensor low-rank approximation
optimal transport
SELF
spatiotemporal context learning
Modest AdaBoost
topic modelling
multi-seasonal
Segment-Tree Filtering
locality information
GF-4 PMS
image fusion
wavelet transform
hashing
machine learning techniques
satellite images
climate change
road segmentation
remote sensing
tensor sparse decomposition
Convolutional Neural Network (CNN)
multi-task learning
deep salient feature
speckle
canonical correlation weighted voting
fully convolutional network (FCN)
despeckling
multispectral imagery
ratio images
linear spectral unmixing
hyperspectral image classification
multispectral images
high resolution image
multi-objective
convolution neural network
transfer learning
1-dimensional (1-D)
threshold stability
Landsat
kernel method
phase congruency
subpixel mapping (SPM)
tensor
MODIS
GSHHG database
compressive sensing
ISBN 9783038976998
3038976997
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367755503321
Wang Qi  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
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 online resource (324 p.)
Soggetto topico Geography
Research & information: general
Soggetto non controllato 1D convolution neural networks
3D bale wrapping method
3D Convolutional Neural Network
agricultural monitoring
agriculture
algorithms
anomaly intrusion detection
artificial neural network
autonomous robots
band selection
Bidirectional long-short term memory
Boufakrane River watershed
canopy conductance
CCA
chlorophyll a
chlorophyll-a concentration
climate change
clustering
CNN
coastal management
Coatzacoalcos
Comino
computer vision
convolutional neural networks
Copernicus Sentinels
crop classification
crop fields
crop mapping
crop yield improvement
crops
crops diseases
cubic SVM
cucumber
data analysis
data augmentation
data fusion
deep learning
deep transfer learning
density estimation
dissolved oxygen
drone
entropy
environmental monitoring
environmental protection
equal bale dimensions
evapotranspiration
Explainable Artificial Intelligence
Faster R-CNN
features fusion
food security
forest roads
geographic information system (GIS)
GIS
Google Earth Engine
Gozo
green ring
green technologies
guava disease
histogram
hyperparameter optimization
hyperspectral
hyperspectral imagery
hyperspectral imaging
hyperspectral remoting sensing
IDS
image classification
internet of things
Internet of Things
internode-elongation
Interreg
invasive plants
IoT
IoT ecosystem
irrigation requirements
land use
land use classification
Land Use/Land Cover
Landsat
leaf disease
LISS-III
machine learning
machine learning algorithm
machine vision
Malta
mango leaf
mathematical model
metaheuristic
minimal film consumption
modeling
modeling approach
modified normalized difference water index (MNDWI)
modular robot
multi-temporal data
multispectral
natural resources
NDVI
nitrate
nitrogen prediction
normalized difference vegetation index (NDVI)
object-based classification
optimal bale dimensions
ordinary kriging
ordinary Kriging
overfitting
panicle initiation
path planning
penman-monteith equation
pest control
photogrammetry
plant disease detection
pocket beaches
precision agriculture
probe
proximal sensing
random forest
rational sampling numbers
remote sensing
resource constraint
RF
rice farming
rice plant
round bales
sampling
SAR
satellite image analysis
selective spraying
sensor
Sentinel 1 and 2
Sentinel-1a
Sentinel-2
Sicily
simulation
site-specific
site-specific weed management
smart agriculture
soil attribute
soil pH
soil tillage
spatial heterogeneity
spatial variation
sustainable agriculture
sustainable environment
sustainable land use
SVM
Synthetic Aperture Radar (SAR)
systematic literature review
temperature profile
time series analysis
transfer learning
urban flood
vein pattern
virtual pests
Vision Transformer
vision-based crop and weed detection
water extraction
water quality
water resources
weed
YOLOv5
Ziz basin
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 online resource (322 p.)
Soggetto topico Geography
Research & information: general
Soggetto non controllato 1D convolution neural networks
3D bale wrapping method
3D Convolutional Neural Network
agricultural monitoring
agriculture
algorithms
anomaly intrusion detection
artificial neural network
autonomous robots
band selection
Bidirectional long-short term memory
Boufakrane River watershed
canopy conductance
CCA
chlorophyll a
chlorophyll-a concentration
climate change
clustering
CNN
coastal management
Coatzacoalcos
Comino
computer vision
convolutional neural networks
Copernicus Sentinels
crop classification
crop fields
crop mapping
crop yield improvement
crops
crops diseases
cubic SVM
cucumber
data analysis
data augmentation
data fusion
deep learning
deep transfer learning
density estimation
dissolved oxygen
drone
entropy
environmental monitoring
environmental protection
equal bale dimensions
evapotranspiration
Explainable Artificial Intelligence
Faster R-CNN
features fusion
food security
forest roads
geographic information system (GIS)
GIS
Google Earth Engine
Gozo
green ring
green technologies
guava disease
histogram
hyperparameter optimization
hyperspectral
hyperspectral imagery
hyperspectral imaging
hyperspectral remoting sensing
IDS
image classification
internet of things
Internet of Things
internode-elongation
Interreg
invasive plants
IoT
IoT ecosystem
irrigation requirements
land use
land use classification
Land Use/Land Cover
Landsat
leaf disease
LISS-III
machine learning
machine learning algorithm
machine vision
Malta
mango leaf
mathematical model
metaheuristic
minimal film consumption
modeling
modeling approach
modified normalized difference water index (MNDWI)
modular robot
multi-temporal data
multispectral
natural resources
NDVI
nitrate
nitrogen prediction
normalized difference vegetation index (NDVI)
object-based classification
optimal bale dimensions
ordinary kriging
ordinary Kriging
overfitting
panicle initiation
path planning
penman-monteith equation
pest control
photogrammetry
plant disease detection
pocket beaches
precision agriculture
probe
proximal sensing
random forest
rational sampling numbers
remote sensing
resource constraint
RF
rice farming
rice plant
round bales
sampling
SAR
satellite image analysis
selective spraying
sensor
Sentinel 1 and 2
Sentinel-1a
Sentinel-2
Sicily
simulation
site-specific
site-specific weed management
smart agriculture
soil attribute
soil pH
soil tillage
spatial heterogeneity
spatial variation
sustainable agriculture
sustainable environment
sustainable land use
SVM
Synthetic Aperture Radar (SAR)
systematic literature review
temperature profile
time series analysis
transfer learning
urban flood
vein pattern
virtual pests
Vision Transformer
vision-based crop and weed detection
water extraction
water quality
water resources
weed
YOLOv5
Ziz basin
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

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