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Advanced Techniques for Ground Penetrating Radar Imaging
Advanced Techniques for Ground Penetrating Radar Imaging
Autore López Yuri
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (218 p.)
Soggetto topico Technology: general issues
Soggetto non controllato Ground Penetrating Radar (GPR)
Unmanned Aerial Vehicles (UAVs)
Synthetic Aperture Radar (SAR)
Real Time Kinematic (RTK)
Ultra-Wide-Band (UWB)
landmine and IED detection
non-destructive testing
GPR
coherence
semblance
attribute analysis
imaging
GPR trace
high-resolution data
large-scale survey
archaeological prospection
Ground-Penetrating Radar
velocity analysis
coherency functionals
GPR data processing
GPR data migration
spatial-variant convolution neural network (SV-CNN)
spatial-variant convolution kernel (SV-CK)
radar image enhancing
MIMO radar
neural networks
imaging radar
ground penetrating radar
wavelet scattering network
machine learning
support vector machine
pipeline identification
snow
snow water equivalent (SWE)
stepped-frequency continuous wave radar (SFCW)
software defined radio (SDR)
snowpack multilayer reflectance
Ground Penetrating Radar
Synthetic Aperture Radar
landmine
Improvised Explosive Device
radar
noise attenuation
Gaussian spike impulse noise
deep convolutional denoising autoencoders (CDAEs)
deep convolutional denoising autoencoders with network structure optimization (CDAEsNSO)
applied geophysics
digital signal processing
enhancement of 3D-GPR datasets
clutter noise removal
spectral filtering
ground-penetrating radar
nondestructive testing
pipelines detection
modeling
signal processing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557337403321
López Yuri  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments
UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments
Autore Gonzalez Toro Felipe
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (388 p.)
Soggetto topico Technology: general issues
Soggetto non controllato UAV
landing
optical flow
video navigation
Kalman filter
coastal mapping
coastal monitoring
Digital Elevation Models (DEMs)
geomorphological evolution
photogrammetry
Structure-from-Motion (SfM)
Unmanned Aerial Vehicles (UAVs)
snow mapping
UAS
remote sensing
direct georeferencing
snow field
snow-covered area
snow depth
water level changes
UAV photogrammetry
tidal phase
GNSS
Kilim River
unmanned aerial vehicles
UAV swarms
visual detection
visual tracking
machine vision
deep learning
YOLO
laser guidance
emergency landing
particle filter
change detection
convolutional neural networks
moving camera
image alignment
multirotor
ground effect
sensor faults
UAV imagery
bundle block adjustment
digital surface model
orthomosaic
data collection
accuracy
technical guidelines
DSM assessment
backpack mobile mapping
underground cellars
unmanned aerial vehicle
unmanned aerial system
vision-based navigation
search and rescue
vision and action
OODA
inspection
target detection
autonomous localization
3D registration
GPS-denied environment
real-time
multi-robot
bioinspired map
topologic mapping
map exploration
onboard GNSS RTK
UAS traffic management
multiple UAV navigation
navigation in GPS/GNSS-denied environments
distributed state estimation
consensus theory
computer architecture
decision making
navigation
semantics
aerial systems
applications, inspection robotics, bridge inspection with UAS
POMDP
Deep Reinforcement-Learning
multi-agent
search
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557343503321
Gonzalez Toro Felipe  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui