The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Share
Publications Copernicus
Download
Citation
Share
Articles | Volume XLIII-B2-2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1561-2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1561-2020
14 Aug 2020
 | 14 Aug 2020

USING DEEP LEARNING AND HOUGH TRANSFORMATIONS TO INFER MINERALISED VEINS FROM LIDAR DATA OVER HISTORIC MINING AREAS

J. Gallwey, C. Yeomans, M. Tonkins, J. Coggan, D. Vogt, and M. Eyre

Viewed

Total article views: 1,283 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
731 510 42 1,283 89 175
  • HTML: 731
  • PDF: 510
  • XML: 42
  • Total: 1,283
  • BibTeX: 89
  • EndNote: 175
Views and downloads (calculated since 14 Aug 2020)
Cumulative views and downloads (calculated since 14 Aug 2020)

Viewed (geographical distribution)

Total article views: 1,208 (including HTML, PDF, and XML) Thereof 1,208 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 11 Mar 2026