The utilization of landscape pictures extracted from open picture collections for the determination of interest in spatial features
1
Department EC+G, University of Applied Sciences Western Switzerland, School of Business and Engineering Vaud, Yverdon-les-Bains, Switzerland
2
THEMA, University of Burgundy - Franche-Comté, Besançon, France
- Published
- Accepted
- Subject Areas
- Human-Computer Interaction, Computer Vision, Visual Analytics
- Keywords
- Public Picture Collections, Landscape Analysis, Spatial Cognition, Photography
- Copyright
- © 2018 Ingensand et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. The utilization of landscape pictures extracted from open picture collections for the determination of interest in spatial features. PeerJ Preprints 6:e27234v1 https://doi.org/10.7287/peerj.preprints.27234v1
Abstract
This paper describes a method that uses georeferenced landscape pictures extracted from open picture collections for the determination of the population's interest in spatial features. The automated method takes into account the coordinates of the camera position as well as the azimuth angle, the focal length and the crop factor in order to calculate a field of view using a digital terrain model (DTM). This field of view can thereafter be used for the determination of interest in spatial features. In a case study involving more than 3'000 georeferenced pictures we investigate the potential of the method.
Author Comment
This submission is intended for the OGRS'2018 Collection
