A multimodal generative modeling approach combined with permutation-invariant set attention is investigated in this article to support long-wave infrared (LWIR) in-scene atmospheric compensation. The generative model can produce realistic atmospheric state vectors (T. H2O. O3) and their corresponding transmittance. https://parlorcityfurniturers.shop/product-category/classroom-desks/
Multimodal Representation Learning and Set Attention for LWIR In-Scene Atmospheric Compensation
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