Learning SAR Dataset for Wet Snow Detection - Full Analysis Version. 

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[1] Matthieu Gallet, Fatima Karbou, Abdourrahmane Atto, Emmanuel Trouvé, "LSD4WSD VX: An Open Dataset for Wet Snow Detection with SAR Data and Physical Labelling - Full Analysis Version", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/9ywp-1h32. Accessed: Dec. 04, 2024.
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doi = {10.21227/9ywp-1h32},
url = {http://dx.doi.org/10.21227/9ywp-1h32},
author = {Matthieu Gallet; Fatima Karbou; Abdourrahmane Atto; Emmanuel Trouvé },
publisher = {IEEE Dataport},
title = {LSD4WSD VX: An Open Dataset for Wet Snow Detection with SAR Data and Physical Labelling - Full Analysis Version},
year = {2023} }
TY - DATA
T1 - LSD4WSD VX: An Open Dataset for Wet Snow Detection with SAR Data and Physical Labelling - Full Analysis Version
AU - Matthieu Gallet; Fatima Karbou; Abdourrahmane Atto; Emmanuel Trouvé
PY - 2023
PB - IEEE Dataport
UR - 10.21227/9ywp-1h32
ER -
Matthieu Gallet, Fatima Karbou, Abdourrahmane Atto, Emmanuel Trouvé. (2023). LSD4WSD VX: An Open Dataset for Wet Snow Detection with SAR Data and Physical Labelling - Full Analysis Version. IEEE Dataport. http://dx.doi.org/10.21227/9ywp-1h32
Matthieu Gallet, Fatima Karbou, Abdourrahmane Atto, Emmanuel Trouvé, 2023. LSD4WSD VX: An Open Dataset for Wet Snow Detection with SAR Data and Physical Labelling - Full Analysis Version. Available at: http://dx.doi.org/10.21227/9ywp-1h32.
Matthieu Gallet, Fatima Karbou, Abdourrahmane Atto, Emmanuel Trouvé. (2023). "LSD4WSD VX: An Open Dataset for Wet Snow Detection with SAR Data and Physical Labelling - Full Analysis Version." Web.
1. Matthieu Gallet, Fatima Karbou, Abdourrahmane Atto, Emmanuel Trouvé. LSD4WSD VX: An Open Dataset for Wet Snow Detection with SAR Data and Physical Labelling - Full Analysis Version [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/9ywp-1h32
Matthieu Gallet, Fatima Karbou, Abdourrahmane Atto, Emmanuel Trouvé. "LSD4WSD VX: An Open Dataset for Wet Snow Detection with SAR Data and Physical Labelling - Full Analysis Version." doi: 10.21227/9ywp-1h32