SpectralX adapts RGB-pretrained remote sensing models to spectral data with a two-stage parameter-efficient training scheme and reports state-of-the-art cross-domain segmentation on three benchmarks.
A human-machine collaborative approach measures economic development using satellite imagery,
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SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models
SpectralX adapts RGB-pretrained remote sensing models to spectral data with a two-stage parameter-efficient training scheme and reports state-of-the-art cross-domain segmentation on three benchmarks.