Exploring the Potential of Contrastive Language-Image Pre-training for Multi-Source Remote Sensing Data
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 difficult to exploit heterogeneous sensors such as SAR, multi-spectral imagi...
Xian-Yang Miao, Ke-Lu Yao, Ye-Hua Huang et al.
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