Cite
Probabilistic Breaking Tie: An Active Learning Strategy To Leverage Class Hierarchy For Impervious Surfaces Classification
MLA
Thoreau, Romain, et al. “Probabilistic Breaking Tie: An Active Learning Strategy To Leverage Class Hierarchy For Impervious Surfaces Classification.” 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Sept. 2022. EBSCOhost, https://doi.org/10.1109/whispers56178.2022.9955057.
APA
Thoreau, R., Achard, V., Risser, L., Berthelot, B., & Briottet, X. (2022). Probabilistic Breaking Tie: An Active Learning Strategy To Leverage Class Hierarchy For Impervious Surfaces Classification. 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). https://doi.org/10.1109/whispers56178.2022.9955057
Chicago
Thoreau, Romain, Véronique Achard, Laurent Risser, Béatrice Berthelot, and Xavier Briottet. 2022. “Probabilistic Breaking Tie: An Active Learning Strategy To Leverage Class Hierarchy For Impervious Surfaces Classification.” 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), September. doi:10.1109/whispers56178.2022.9955057.