Taking computer vision aloft – archaeological three‐dimensional reconstructions from aerial photographs with photoscan
By Geert J. Verhoeven. 2011
544 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Geology
View Paper: https://www.semanticscholar.org/paper/4173300ecbdd688610b6ce28226ebc803e19111b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Arko Lucieer
- Darren Turner
- Karen Anderson
- Luke Wallace
- Francesco Mancini
- Andrew M. Cunliffe
- A. Puttock
- Simon Bennertz
In Computer Vision and Pattern Recognition
- Darren Turner
- Arko Lucieer
- Karen Anderson
- Luke Wallace
- Francesco Mancini
- Simon Bennertz
- Francesco Stecchi
- Georg Bareth
In Geology
- Darren Turner
- Arko Lucieer
- Luke Wallace
- Z. Malenovsky
- Petr Vopenka
- Karen Anderson
- Francesco Mancini
- Andrew M. Cunliffe
Citations in the corpus
- Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments (2013, methodology): “Amongst available stereo matching procedures implemented in PhotoScan, the Height Field is recommended for aerial surveys [38].”
- Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging (2014, methodology): “For Steps a–c, we use Agisoft PhotoScan Professional, a structure from motion (SfM) [37] software that performs a bundle adjustment based on matching features between the images.”
- Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level (2015, methodology): “Image matching provided dense and detailed DSMs of the canopy surface with approximately 10 cm point density; the high quality could be expected based on previous studies with the Agisoft PhotoScan software [40,41].”
- Aerial photography collected with a multirotor drone reveals impact of Eurasian beaver reintroduction on ecosystem structure1 (2015, background): “0.4; http://www.agisoft.com/); PhotoScan is described further in Verhoeven (2011), Remondino et al. (2014), and Kaiser et al. (2014).”
- Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds (2016, background): “Detailed descriptions of the Photoscan workflow can be found in [12,13,25].”
- Using an Unmanned Aerial Vehicle (UAV) to capture micro-topography of Antarctic moss beds (2014, methodology): “Eisenbeiss and Sauerbier (2011) reviewed a range of UAVs and 3D processing workflows for photogrammetric applications and Verhoeven (2011) described a software workflow based on Agisoft Photoscan for 3D reconstruction from aerial photographs in the context of an archaeological application.”
- Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application (2012, methodology): “…[ Falkingham , 2012], and useful results have been demonstrated with images from UAVs and light aircraft for mudslide [ Niethammer et al. , 2010, 2011] and glacial [ Welty et al. , 2010] analyses, and from ground-based images for assessing gully erosion [ Castillo et al. , 2012] and lava flow…”