
|
13 Dec 2023
BURNT AREAS SEMANTIC SEGMENTATION FROM SENTINEL DATA USING THE U-NET NETWORK TRAINED WITH SEMI-AUTOMATED ANNOTATIONS
A. B. Marra, M. L. B. T. Galo, F. Giulio Tonolo, E. E. Sano, and V. S. W. Orlando
Viewed
Total article views: 580 (including HTML, PDF, and XML)
| HTML |
PDF |
XML |
Total |
BibTeX |
EndNote |
| 417 |
147 |
16 |
580 |
58 |
113 |
- HTML: 417
- PDF: 147
- XML: 16
- Total: 580
- BibTeX: 58
- EndNote: 113
Views and downloads (calculated since 13 Dec 2023)
Cumulative views and downloads
(calculated since 13 Dec 2023)
Viewed (geographical distribution)
Total article views: 565 (including HTML, PDF, and XML)
Thereof 565 with geography defined
and 0 with unknown origin.
|
| Total: |
0 |
| HTML: |
0 |
| PDF: |
0 |
| XML: |
0 |
Latest update: 28 Oct 2025