Research output per year
Research output per year
Description
This dataset contains N=1520 Sentinel-2 level 1C image pairs focused on urban areas around the world.
Bands with a spatial resolution smaller than 10 m are resampled to 10 m and images are cropped to approximately 600x600 pixels.
The size of some images is smaller than 600x600 pixels as result of the fact that some coordinates were located close to the edge of a Sentinel tile, the images were then cropped to the tile border.
Geometric or radiometric corrections are not performed.
Bands with a spatial resolution smaller than 10 m are resampled to 10 m and images are cropped to approximately 600x600 pixels.
The size of some images is smaller than 600x600 pixels as result of the fact that some coordinates were located close to the edge of a Sentinel tile, the images were then cropped to the tile border.
Geometric or radiometric corrections are not performed.
| Date made available | 19 Nov 2020 |
|---|---|
| Publisher | Wageningen University & Research |
Research output
- 1 Conference paper
-
Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery
Leenstra, M., Marcos, D., Bovolo, F. & Tuia, D., 21 Feb 2021, Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J. & Vezzani, R. (eds.). Cham: Springer, p. 578-590 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12667 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review
Open Access16 Citations (Scopus)