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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
UAV Photogrammetry and Remote Sensing
UAV Photogrammetry and Remote Sensing
Autore Carvajal-Ramírez Fernando
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (257 p.)
Soggetto topico Technology: general issues
Soggetto non controllato unmanned aerial vehicle
urban LULC
GEOBIA
multiscale classification
unmanned aircraft system (UAS)
deep learning
super-resolution (SR)
convolutional neural network (CNN)
generative adversarial network (GAN)
structure-from-motion
photogrammetry
remote sensing
UAV
3D-model
surveying
vertical wall
snow
remotely piloted aircraft systems
structure from motion
lidar
forests
orthophotography
construction planning
sustainable construction
urbanism
BIM
building maintenance
unmanned aerial vehicle (UAV)
structure-from-motion (SfM)
ground control points (GCP)
accuracy assessment
point clouds
corridor mapping
UAV photogrammetry
terrain modeling
vegetation removal
unmanned aerial vehicles
power lines
image-based reconstruction
3D reconstruction
unmanned aerial systems
time series
accuracy
reproducibility
orthomosaic
validation
drone
GNSS RTK
precision
elevation
multispectral imaging
vegetation indices
nutritional analysis
correlation
optimal harvest time
UAV images
monoscopic mapping
stereoscopic plotting
image overlap
optimal image selection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557781303321
Carvajal-Ramírez Fernando  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui