- AutorIn
- Marc Donner
- Sebastian Varga
- Ralf Donner
- Titel
- Point cloud generation for hyperspectral ore analysis
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa-231365
- Quellenangabe
- Proceedings of Real Time Mining - International Raw Materials Extraction Innovation Conference : 10th & 11th October 2017, Amsterdam, The Netherlands
- Erstveröffentlichung
- 2017
- Abstract (EN)
- Recent development of hyperspectral snapshot cameras offers new possibilities for ore analysis. A method for generating a 3D dataset from RGB and hyperspectral images is presented. By using Structure from Motion, a reference of each source image to the resulting point cloud is kept. This reference is used for projecting hyperspectral data onto the point cloud. Additionally, with this work flow it is possible to add meta data to the point cloud, which was generated from images alone.
- Freie Schlagwörter (DE)
- Real-Time Mining, Konferenz
- Freie Schlagwörter (EN)
- Real-Time Mining, Conference
- Klassifikation (DDC)
- 624
- Normschlagwörter (GND)
- Bergbau, Bergwerk, Markscheidekunde, Geoinformation, Prospektion
- Publizierende Institution
- TU Bergakademie Freiberg, Freiberg
- URN Qucosa
- urn:nbn:de:bsz:105-qucosa-231365
- Veröffentlichungsdatum Qucosa
- 22.03.2018
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch