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AI Model Achieves 99% Accuracy in Satellite Image Analysis Using Channel-Aware Learning
- ChA-MAEViT unifies masked autoencoder pretraining with multi-channel vision transformers
- Introduces two key innovations: channel-aware masking and channel-specific embedding layers
- Achieves state-of-the-art performance on hyperspectral image classification and remote sensing
- Reduces the need for extensive labeled data through effective self-supervised pretraining
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