Self-supervised Learning for Geospatial AI: A Survey.

Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong.

The paper “Self-Supervised Representation Learning for Geospatial Objects: A Survey” reviews and categorizes self-supervised learning methods tailored to vector-based geospatial objects (points, polylines, polygons), analyzing predictive and contrastive approaches and highlighting trends and challenges in developing geospatial foundation models.