-
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets
Geospatial datasets are diverse, naturally spatiotemporal, and inherently multimodal (composed of two or more distinct signal types or modalities) e.g., satellite/aerial imagery...
