A lightweight projection layer trained to align frozen SpectralGPT multispectral features with LLaMA-3 text embeddings markedly improves EuroSAT classification and enables multispectral scene description.
Canopy averaged chlorophyll content pre- diction using convolutional autoencoder on hyperspectral data,
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A Vision-Language Framework for Multispectral Scene Representation Using Language-Grounded Features
A lightweight projection layer trained to align frozen SpectralGPT multispectral features with LLaMA-3 text embeddings markedly improves EuroSAT classification and enables multispectral scene description.