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Image Simulation in Remote Sensing
Image Simulation in Remote Sensing
Autore Eo Yang Dam
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (128 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato image fusion
random forest regression
SAR image
panchromatic image
high-resolution
multi-beam LiDAR
in situ self-calibration
mobile mapping system
3D point cloud
backpack-based mapping
aerial orthoimage
Sentinel-2
super-resolution
image simulation
residual U-Net
interferometry
remote sensing
computational simulation
denoising
detection
SAR imagery
fusing region proposals
KOMPSAT-3A
strip
sensor modeling
RPCs
mosaic
matching
discrepancy
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566468703321
Eo Yang Dam  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing Analysis of Geologic Hazards
Remote Sensing Analysis of Geologic Hazards
Autore Giordan Daniele
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (254 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato multi-temporal interferometry
mining
salt dissolution
MTInSAR
sinkholes
digital image correlation
template matching
natural hazards
surface deformations
optical remote sensing
time-lapse camera
3D point cloud
voxels
supervoxels
rock slope management
classification
knowledge extraction
semantics
object-oriented
change detection
Fengfeng mine
mining deformation monitoring
MSBAS
multiplatform SAR data
dense vegetation
threshold
landslide
early warning system
velocity
water level
GNSS
lava
volcanoes
PlanetScope
object-based image analysis
SAR interferometry
slope instability
ground stability monitoring
Sentinel-1
COSMO-SkyMed
time series analysis
rainfall-triggered landslides
tropics
statistical analysis
CHIRPS
multi-temporal image composite
Jølster
landslide database
Sentinel-2
Google Earth Engine
NDVI
glacial landscape
evolution characteristics
state of activity
earthquake
rainfall
the Bailong River basin
ISBN 3-0365-5700-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910637780703321
Giordan Daniele  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters
Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters
Autore Sanchez Juanma Lopez
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (334 p.)
Soggetto non controllato artificial neural network
downscaling
simulation
3D point cloud
European beech
consistency
adaptive threshold
evaluation
photosynthesis
geographic information system
P-band PolInSAR
validation
density-based clustering
structure from motion (SfM)
EPIC
Tanzania
signal attenuation
trunk
canopy closure
REDD+
unmanned aerial vehicle (UAV)
forest
recursive feature elimination
Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR)
aboveground biomass
random forest
uncertainty
household survey
spectral information
forests biomass
root biomass
biomass
unmanned aerial vehicle
Brazilian Amazon
VIIRS
global positioning system
LAI
photochemical reflectance index (PRI)
allometric scaling and resource limitation
R690/R630
modelling aboveground biomass
leaf area index
forest degradation
spectral analyses
terrestrial laser scanning
BAAPA
leaf area index (LAI)
stem volume estimation
tomographic profiles
polarization coherence tomography (PCT)
canopy gap fraction
automated classification
HemiView
remote sensing
multisource remote sensing
Pléiades imagery
photogrammetric point cloud
farm types
terrestrial LiDAR
altitude
RapidEye
forest aboveground biomass
recovery
southern U.S. forests
NDVI
machine-learning
conifer forest
satellite
chlorophyll fluorescence (ChlF)
tree heights
phenology
point cloud
local maxima
clumping index
MODIS
digital aerial photograph
Mediterranean
hemispherical sky-oriented photo
managed temperate coniferous forests
fixed tree window size
drought
GLAS
smartphone-based method
forest above ground biomass (AGB)
forest inventory
over and understory cover
sampling design
ISBN 3-03921-240-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Remote Sensing of Leaf Area Index
Record Nr. UNINA-9910367563203321
Sanchez Juanma Lopez  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing of Savannas and Woodlands
Remote Sensing of Savannas and Woodlands
Autore Hill Michael J
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (286 p.)
Soggetto topico Research & information: general
Soggetto non controllato Savanna
alternative stable states
MODIS VCF
land surface temperature
albedo
Cerrado
Amazon
vegetation type
optical
sar
synergism
mapping
savanna
post oak
vegetation index
ecosystem function
phenology
encroachment
evergreen
deciduous
vegetation
grassland
fractional cover
trend
ecoregion
bare soil
livestock
production systems
remote sensing
vegetation dynamics
vegetation persistence
conservation
savannas
Africa
vegetation indices
oak-grass savanna
hydrology
Sentinel-2
land cover
grasslands
forests
monitoring
random forest
spectral indexes
vegetation seasonality
aboveground biomass
Cerrado ecosystem
SAR
allometry
biomass
carbon
cost-effective
LiDAR
TLS
plant water availability
tree phenology
phenocams
MODIS
terrestrial laser scanning (TLS)
Above Ground Biomass (AGB)
3D point cloud
vegetation structure
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557426603321
Hill Michael J  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Techniques and Applications of UAV-Based Photogrammetric 3D Mapping
Techniques and Applications of UAV-Based Photogrammetric 3D Mapping
Autore Jiang Wanshou
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (294 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato compound building reconstruction
LiDAR
point clouds
semantic decomposition
structure from motion
match pair
cycle consistency inference
repetitive structure
very short baseline
high-resolution remote sensing images
building extraction
multiscale features
aggregate semantic information
feature pyramid
spatial eight-quadrant kernel convolution
3D point cloud
semantic segmentation
indoor scene
wide-baseline stereo image
deep learning
convolutional neural network
affine invariant feature
image matching
photogrammetric mesh model
building façade
3D reconstruction
least square fitting
single image super-resolution
lightweight image super-resolution
U-shaped residual network
dense shortcut
effective feature distillation
high-frequency loss
power lines
UAV inspection
red-black propagation
depth map fusion
PatchMatch
digital photogrammetry
camera self-calibration
Brown model
polynomial model
aerial triangulation
GF-7 image
building footprint
building height
multi-view
point cloud
multi-view reconstruction
detail preserving
depth estimation
surface meshing
texture mapping
coplanar extraction
deep convolutional neural network
geometric topology
homography matrix
airborne LiDAR
coal mine
surface subsidence
deformation detection
digital subsidence model
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595072603321
Jiang Wanshou  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui