Bakhtawar Ismail

Semantic-Conditioned Spectral Fusion for Label-Efficient Multispectral Adaptation of Frozen Remote-Sensing Vision–Language Models

Remote-sensing vision–language models (RS-VLMs) yield transferable, text-alignable representations, yet are pre-trained on three-band RGB imagery and therefore cannot exploit the red-edge, near-infrared and short-wave-infrared bands that carry much of the discriminative signal in multispectral data. Existing adaptation...