A 15-million-image sub-meter remote sensing dataset built from Jilin-1 imagery and a multi-scale self-supervised ViT framework achieve benchmark results comparable to or better than prior remote sensing foundation models.
Analyzing spatial variability in night-time lights using a high spatial resolution color Jilin-1 image - Jerusalem as a case study,
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CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation
A 15-million-image sub-meter remote sensing dataset built from Jilin-1 imagery and a multi-scale self-supervised ViT framework achieve benchmark results comparable to or better than prior remote sensing foundation models.