Diffusion learning for atmospheric correction
D Stelter, R Sundberg - Imaging Spectrometry XXVI …, 2023 - spiedigitallibrary.org
Diffusion learning is a generative technique commonly applied to create new images or
audio directly from sampled noise. The machine learning approach works by applying …
audio directly from sampled noise. The machine learning approach works by applying …
Data-Driven Invertible Neural Surrogates of Atmospheric Transmission
We present a framework for inferring an atmospheric transmission profile from a spectral
scene. This framework leverages a lightweight, physics-based simulator that is automatically …
scene. This framework leverages a lightweight, physics-based simulator that is automatically …
Atmospheric correction using diffusion models and MODTRAN for constrained training
Diffusion models are a promising generative artificial intelligence (AI) technique for
denoising and synthetic data generation. A de-noising diffusion model is applied to the …
denoising and synthetic data generation. A de-noising diffusion model is applied to the …