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Exploring the Potential of Contrastive Language-Image Pre-training for Multi-Source Remote Sensing Data

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.03391v1 Announce Type: new Abstract: Contrastive language-image learning (CLIP) has become a key paradigm for remote sensing vision-language understanding. However, existing remote sensing contrastive learning methods are mostly built on RGB-oriented CLIP architectures, making it difficu…

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  1. 2026-09-04 04:00 · arXiv cs.CV
    Exploring the Potential of Contrastive Language-Image Pre-training for Multi-Source Remote Sensing Data

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