Innovations in Photogrammetry and Remote Sensing: : Modern Sensors, New Processing Strategies and Frontiers in Applications
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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| HerausgeberIn: | |
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| Sonstige: | |
| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 electronic resource (216 p.) |
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| 245 | 1 | 0 | |a Innovations in Photogrammetry and Remote Sensing: |b Modern Sensors, New Processing Strategies and Frontiers in Applications |
| 246 | |a Innovations in Photogrammetry and Remote Sensing | ||
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| 520 | |a 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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| 653 | |a VHR tri-stereo satellite imagery | ||
| 653 | |a digital elevation model | ||
| 653 | |a isolated objects | ||
| 653 | |a dense image matching | ||
| 653 | |a change detection | ||
| 653 | |a natural disasters | ||
| 653 | |a deep learning | ||
| 653 | |a threshold selection | ||
| 653 | |a optical flow estimation | ||
| 653 | |a Structure from Motion (SfM) | ||
| 653 | |a 3D reconstruction | ||
| 653 | |a noise estimation | ||
| 653 | |a point clouds | ||
| 653 | |a roughness | ||
| 653 | |a surface reconstruction | ||
| 653 | |a mesh model | ||
| 653 | |a visibility constraints | ||
| 653 | |a volumetric methods | ||
| 653 | |a dense point cloud | ||
| 653 | |a multiple view stereo (MVS) | ||
| 653 | |a dense image matching (DIM) | ||
| 653 | |a photogrammetry | ||
| 653 | |a computer vision | ||
| 653 | |a Copernicus | ||
| 653 | |a Sentinel-1 | ||
| 653 | |a Sentinel-2 | ||
| 653 | |a InSAR | ||
| 653 | |a damage proxy map | ||
| 653 | |a Beirut | ||
| 653 | |a Lebanon | ||
| 653 | |a explosion | ||
| 653 | |a radiometric calibration | ||
| 653 | |a modeling | ||
| 653 | |a geometric error | ||
| 653 | |a high-precision calibration | ||
| 653 | |a preprocessing | ||
| 653 | |a enhancement | ||
| 653 | |a point cloud | ||
| 653 | |a image processing | ||
| 653 | |a image histogram | ||
| 653 | |a UAV | ||
| 653 | |a camera calibration | ||
| 653 | |a GNSS-assisted block orientation | ||
| 653 | |a dome effect | ||
| 653 | |a Monte Carlo simulation | ||
| 653 | |a soil moisture content | ||
| 653 | |a artificial neural network | ||
| 653 | |a sample optimization | ||
| 653 | |a synthetic aperture radar | ||
| 653 | |a optical remote sensing image | ||
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