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Innovations in Photogrammetry and Remote Sensing:
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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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Keywords
- 3D reconstruction
- artificial neural network
- Beirut
- camera calibration
- change detection
- Computer vision
- Copernicus
- damage proxy map
- deep learning
- dense image matching
- dense image matching (DIM)
- dense point cloud
- digital elevation model
- dome effect
- enhancement
- explosion
- geometric error
- GNSS-assisted block orientation
- high-precision calibration
- History of engineering & technology
- image histogram
- Image processing
- InSAR
- isolated objects
- Lebanon
- mesh model
- modeling
- Monte Carlo simulation
- multiple view stereo (MVS)
- n/a
- Natural disasters
- noise estimation
- optical flow estimation
- optical remote sensing image
- Photogrammetry
- point cloud
- point clouds
- preprocessing
- radiometric calibration
- roughness
- sample optimization
- Sentinel-1
- Sentinel-2
- soil moisture content
- structure from motion (SfM)
- surface reconstruction
- synthetic aperture radar
- Technology, engineering, agriculture
- Technology: general issues
- threshold selection
- UAV
- VHR tri-stereo satellite imagery
- visibility constraints
- volumetric methods
Links
DOI: 10.3390/books978-3-0365-3931-7Editions