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Innovations in Photogrammetry and Remote Sensing:

The Special Issue collects papers showing the progress made in key areas of photogrammetry and remote sensing such as modern and/or forthcoming sensors, improvements in data processing strategies and assessment of their reliability, application of innovations as proof of the contribution offered in...

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Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
VHR tri-stereo satellite imagery
digital elevation model
isolated objects
dense image matching
change detection
natural disasters
deep learning
threshold selection
optical flow estimation
Structure from Motion (SfM)
3D reconstruction
noise estimation
point clouds
roughness
surface reconstruction
mesh model
visibility constraints
volumetric methods
dense point cloud
multiple view stereo (MVS)
dense image matching (DIM)
photogrammetry
computer vision
Copernicus
Sentinel-1
Sentinel-2
InSAR
damage proxy map
Beirut
Lebanon
explosion
radiometric calibration
modeling
geometric error
high-precision calibration
n/a
preprocessing
enhancement
point cloud
image processing
image histogram
UAV
camera calibration
GNSS-assisted block orientation
dome effect
Monte Carlo simulation
soil moisture content
artificial neural network
sample optimization
synthetic aperture radar
optical remote sensing image
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online Access:ONIX_20220621_9783036539324_12
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Summary:The Special Issue collects papers showing the progress made in key areas of photogrammetry and remote sensing such as modern and/or forthcoming sensors, improvements in data processing strategies and assessment of their reliability, application of innovations as proof of the contribution offered in the observation of the natural and built environment with better understanding of phenomena at required spatial scale.

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