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.
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
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 online resource (388 p.)
Soggetto topico Technology: general issues
Soggetto non controllato 3D registration
accuracy
aerial systems
applications, inspection robotics, bridge inspection with UAS
autonomous localization
backpack mobile mapping
bioinspired map
bundle block adjustment
change detection
coastal mapping
coastal monitoring
computer architecture
consensus theory
convolutional neural networks
data collection
decision making
deep learning
Deep Reinforcement-Learning
Digital Elevation Models (DEMs)
digital surface model
direct georeferencing
distributed state estimation
DSM assessment
emergency landing
geomorphological evolution
GNSS
GPS-denied environment
ground effect
image alignment
inspection
Kalman filter
Kilim River
landing
laser guidance
machine vision
map exploration
moving camera
multi-agent
multi-robot
multiple UAV navigation
multirotor
navigation
navigation in GPS/GNSS-denied environments
onboard GNSS RTK
OODA
optical flow
orthomosaic
particle filter
photogrammetry
POMDP
real-time
remote sensing
search
search and rescue
semantics
sensor faults
snow depth
snow field
snow mapping
snow-covered area
Structure-from-Motion (SfM)
target detection
technical guidelines
tidal phase
topologic mapping
UAS
UAS traffic management
UAV
UAV imagery
UAV photogrammetry
UAV swarms
underground cellars
unmanned aerial system
unmanned aerial vehicle
unmanned aerial vehicles
Unmanned Aerial Vehicles (UAVs)
video navigation
vision and action
vision-based navigation
visual detection
visual tracking
water level changes
YOLO
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 online resource (257 p.)
Soggetto topico Technology: general issues
Soggetto non controllato 3D reconstruction
3D-model
accuracy
accuracy assessment
BIM
building maintenance
construction planning
convolutional neural network (CNN)
correlation
corridor mapping
deep learning
drone
elevation
forests
generative adversarial network (GAN)
GEOBIA
GNSS RTK
ground control points (GCP)
image overlap
image-based reconstruction
lidar
monoscopic mapping
multiscale classification
multispectral imaging
n/a
nutritional analysis
optimal harvest time
optimal image selection
orthomosaic
orthophotography
photogrammetry
point clouds
power lines
precision
remote sensing
remotely piloted aircraft systems
reproducibility
snow
stereoscopic plotting
structure from motion
structure-from-motion
structure-from-motion (SfM)
super-resolution (SR)
surveying
sustainable construction
terrain modeling
time series
UAV
UAV images
UAV photogrammetry
unmanned aerial systems
unmanned aerial vehicle
unmanned aerial vehicle (UAV)
unmanned aerial vehicles
unmanned aircraft system (UAS)
urban LULC
urbanism
validation
vegetation indices
vegetation removal
vertical wall
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