AINeutralarXiv – CS AI · 18h ago6/10
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Set-Based Transformer for Atmospheric Compensation in Standoff LWIR Hyperspectral Imaging
Researchers present a deep learning framework using set-based transformers to compensate for atmospheric effects in long-wave infrared hyperspectral imaging. The method processes multiple radiance measurements at different distances to estimate transmittance, atmospheric path radiance, and downwelling spectrum with minimal spectral distortion, addressing a historically overlooked challenge in standoff imaging applications.