APPALOOSA
APPALOOSA explores self-supervised representation learning for SAR time series, integrating robust similarity measures between non-Gaussian distributions into differentiable, temporally-aligned cost functions. Validated on Sentinel-1, PAZ and InSAR data for classification and segmentation, in a joint project between LISTIC and ICube.
