The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
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: 832 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
466 340 26 832 15 15
  • HTML: 466
  • PDF: 340
  • XML: 26
  • Total: 832
  • BibTeX: 15
  • EndNote: 15
Views and downloads (calculated since 14 Aug 2020)
Cumulative views and downloads (calculated since 14 Aug 2020)

Viewed (geographical distribution)

Total article views: 771 (including HTML, PDF, and XML) Thereof 771 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024