top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
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 electronic resource (434 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato hyperspectral image few-shot classification
deep learning
meta-learning
relation network
convolutional neural network
constrained-target optimal index factor band selection (CTOIFBS)
hyperspectral image
underwater spectral imaging system
underwater hyperspectral target detection
band selection (BS)
constrained energy minimization (CEM)
lightweight convolutional neural networks
hyperspectral imagery classification
transfer learning
air temperature
spatial measurement
FTIR
MWIR
carbon dioxide absorption
target detection
coffee beans
insect damage
hyperspectral imaging
band selection
visualization
color formation models
multispectral image
image fusion
joint tensor decomposition
anomaly detection
constrained sparse representation
hyperspectral imagery
moving target detection
spatio-temporal processing
hyperspectral remote sensing
image classification
constraint representation
superpixel segmentation
multiscale decision fusion
plug-and-play
denoising
nonlinear unmixing
spectral reconstruction
residual augmented attentional u-shape network
spatial augmented attention
channel augmented attention
boundary-aware constraint
atmospheric transmittance
temperature
emissivity
separation
midwave infrared
hyperspectral images
hyperspectral image super-resolution
data fusion
spectral-spatial residual network
self-supervised training
hyperspectral
vegetation
generative adversarial network
data augmentation
classification
rice leaf blast
hyperspectral imaging data
deep convolutional neural networks
fused features
evolutionary computation
heuristic algorithms
machine learning
unmanned aerial vehicles (UAVs)
vegetation mapping
upland swamps
mine environment
rice
rice leaf folder
hyperspectral image classification
change detection
self-supervised learning
attention mechanism
multi-source image fusion
SFIM
least square estimation
spatial filter
hyperspectral imaging (HSI)
hyperspectral target detection
hyperspectral reconstruction
hyperspectral unmixing
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
Remote Sensing in Vessel Detection and Navigation
Remote Sensing in Vessel Detection and Navigation
Autore Heiselberg Henning
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (286 p.)
Soggetto topico Research & information: general
Soggetto non controllato autonomous navigation
automatic radar plotting aid
safe objects control
game theory
computer simulation
Sentinel-2
multispectral
temporal offsets
ship
aircraft
velocity
altitude
parallax
jet stream
Unmanned Surface Vessel (USV)
multi-Global Navigation Satellite System (GNSS) receiver
bathymetric measurements
cross track error (XTE)
SSL
six-degrees-of-freedom motion
motion attitude model
edge detection
straight-line fitting
visual saliency
vessel detection
video monitoring
inland waterway
real-time detection
neural network
target recognition
HRRP
residual structure
loss function
trajectory tracking
unmanned surface vehicle
navigation
bathymetry
hydrographic survey
real-time communication
maritime situational awareness
ship detection
Iridium
on-board
image processing
flight campaign
position estimation
ranging mode
single shore station
AIS
bag-of-words mechanism
machine learning
image analysis
ship classification
marine system
river monitoring system
feature extraction
synthetic aperture radar (SAR) ship detection
multi-stage rotational region based network (MSR2N)
rotated anchor generation
multi-stage rotational detection network (MSRDN)
convolutional neural network (CNN)
synthetic aperture radar (SAR)
multiscale and small ship detection
complex background
false alarm
farbon dioxide peaks
midwave infrared
FTIR
adaptive stochastic resonance (ASR)
matched intrawell response
nonlinear filter
line enhancer
autonomous underwater vehicles (AUVs)
target tracking
group targets
GLMB
structure
formation
remote sensing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557112803321
Heiselberg Henning  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui