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Radar and Sonar Imaging and Processing
Radar and Sonar Imaging and Processing
Autore Stateczny Andrzej
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (468 p.)
Soggetto topico Research & information: general
Soggetto non controllato radar
fuzzy sets theory
artificial neural network
game theory
safe ship trajectory
computer simulation
computer decision support
underwater sonar image
adaptive denoising
detection
adaptive initialization
synthetic aperture sonar (SAS)
multireceiver
numerical evaluation
numerical transfer function
imaging algorithm
X-Band radar
marine radar current measurement
quality control
measurement reliability
accuracies
precision
WaMoS® II
vessel mounted acoustic Doppler current profiler
autonomous surface vehicles
anti-collision
automotive radar
target detection
interferometric inverse synthetic aperture radar (InISAR)
image registration
translational motion parameters estimation
strong scattering centers fusion
terahertz radar imaging
side-scan sonar image
gray scale correction
Retinex
image enhancement
side-scan sonar
multibeam echo sounder
initial image matching with constraint
dense local self-similarity
superimposition
quadratic phase error
SAR
approximation
spaceborne real-time SAR imaging
orbit determination error
synthetic aperture radar (SAR)
low frequency
high-resolution
large bandwidth
improved generalized chirp scaling (GCS)
Lagrange inversion theorem
range-dependent coupling
complex Doppler ambiguity
fast-maneuvering target refocusing
non-uniform FFT (NUFFT)
1D scaled Fourier transform (1D SCFT)
3D sonar
bathymetry
data reduction
autonomous navigation
ground penetrating radar
underground cavity detection network
deep convolutional neural network
automated underground object classification
phase analysis
super-resolution
anti-drone systems
FMCW radars
drones detection
radars calibration
narrow-band radar
target classification
signal reconstruction
features extraction
weighted features fusion
Synthetic Aperture Radar (SAR)
focusing
periodically gapped data
complex deconvolution
side scan sonar
bottom tracking
one-dimensional convolutional neural network
signal recognition
real-time processing
space-borne SAR
deceptive jamming
Doppler sensor
acoustic vector sensor
road traffic monitoring
water column image
gas emissions
automatic detection
optical flow
parallax
cloud
earth observation
geostationary satellite
meteorological radar
MSG
SEVIRI
sonar
data fusion
sensor design
target tracking
target imaging
image understanding
target recognition
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557524803321
Stateczny Andrzej  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing in Coastline Detection
Remote Sensing in Coastline Detection
Autore Dominici Donatella
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (138 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato DGPS measurements
video camera observation
shoreline position
beach survey
Sentinel-2
Remote Sensing
habitat mapping
mangroves
coral reefs
climate change
vulnerable habitats
side-scan sonar
swath bathymetry
habitat monitoring
hurricane Sandy
hurricane Joaquin
shoreline detection
remote sensing
WorldView-2
Abruzzo
multispectral classification
shoreline
coastline
satellite images
synthetic aperture radar (SAR)
Sentinel-1
shoreline extraction
coastline extraction
active connection matrix (ACM)
J-Net Dynamic
edge detection
canny edge detector
coastline mapping
geomatics
SfM photogrammetry
network RTK
sea level rise
coastlines
2100
storm surges
heritage sites
Pyrgi
Mediterranean
UAV
DSM
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557546503321
Dominici Donatella  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui