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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 online resource (128 p.)
Soggetto topico History of engineering and technology
Technology: general issues
Soggetto non controllato 3D point cloud
aerial orthoimage
backpack-based mapping
computational simulation
denoising
detection
discrepancy
fusing region proposals
high-resolution
image fusion
image simulation
in situ self-calibration
interferometry
KOMPSAT-3A
matching
mobile mapping system
mosaic
multi-beam LiDAR
n/a
panchromatic image
random forest regression
remote sensing
residual U-Net
RPCs
SAR image
SAR imagery
sensor modeling
Sentinel-2
strip
super-resolution
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 / Hongliang Fang, Juanma Lopez Sanchez, Francisco Javier García-Haro
Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters / Hongliang Fang, Juanma Lopez Sanchez, Francisco Javier García-Haro
Autore Fang Hongliang
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 9783039212408
3039212400
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367563203321
Fang Hongliang  
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 online resource (286 p.)
Soggetto topico Research & information: general
Soggetto non controllato 3D point cloud
Above Ground Biomass (AGB)
aboveground biomass
Africa
albedo
allometry
alternative stable states
Amazon
bare soil
biomass
carbon
Cerrado
Cerrado ecosystem
conservation
cost-effective
deciduous
ecoregion
ecosystem function
encroachment
evergreen
forests
fractional cover
grassland
grasslands
hydrology
land cover
land surface temperature
LiDAR
livestock
mapping
MODIS
MODIS VCF
monitoring
n/a
oak-grass savanna
optical
phenocams
phenology
plant water availability
post oak
production systems
random forest
remote sensing
sar
SAR
savanna
Savanna
savannas
Sentinel-2
spectral indexes
synergism
terrestrial laser scanning (TLS)
TLS
tree phenology
trend
vegetation
vegetation dynamics
vegetation index
vegetation indices
vegetation persistence
vegetation seasonality
vegetation structure
vegetation type
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
Descrizione fisica 1 online resource (294 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 3D point cloud
3D reconstruction
aerial triangulation
affine invariant feature
aggregate semantic information
airborne LiDAR
Brown model
building extraction
building façade
building footprint
building height
camera self-calibration
coal mine
compound building reconstruction
convolutional neural network
coplanar extraction
cycle consistency inference
deep convolutional neural network
deep learning
deformation detection
dense shortcut
depth estimation
depth map fusion
detail preserving
digital photogrammetry
digital subsidence model
effective feature distillation
feature pyramid
geometric topology
GF-7 image
high-frequency loss
high-resolution remote sensing images
homography matrix
image matching
indoor scene
least square fitting
LiDAR
lightweight image super-resolution
match pair
multi-view
multi-view reconstruction
multiscale features
n/a
PatchMatch
photogrammetric mesh model
point cloud
point clouds
polynomial model
power lines
red-black propagation
repetitive structure
semantic decomposition
semantic segmentation
single image super-resolution
spatial eight-quadrant kernel convolution
structure from motion
surface meshing
surface subsidence
texture mapping
U-shaped residual network
UAV inspection
very short baseline
wide-baseline stereo image
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595072603321
Jiang Wanshou  
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui