A neural differential equation formulation for modeling atmospheric effects in hyperspectral images

James Koch; Brenda Forland; Timothy Doster; Tegan Emerson

doi:10.1117/12.2663958

13 June 2023 A neural differential equation formulation for modeling atmospheric effects in hyperspectral images

James Koch, Brenda Forland, Timothy Doster, Tegan Emerson

Proceedings Volume 12519, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX ; 125190E (2023) https://doi.org/10.1117/12.2663958
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Atmospheric correction is the process for removing atmospheric effects from spectral data; a necessary step for recovering salient spectral properties. The complex interactions between the atmosphere and light are dominated by absorbance and scattering physics. Existing methods for modeling atmospheric interactions typically rely on deep knowledge of relevant environmental conditions and high-fidelity numerical simulations of the governing physics in order to obtain accurate estimates of these effects. Additionally, existing approaches often require a subject matter expert for pre/post-processing of the data. Model-based approaches for removing atmospheric effects struggle in situations where such domain expertise is not available, and require significant human effort and computational power even when that expertise is available. In contrast, we propose a data-driven approach the uses Neural Differential Equations (NDEs) to accurately learn the interactions between electromagnetic radiation and the atmospheric without access to location specific environmental information. Once trained, the NDE can be applied bi-directionally; to apply or remove atmospheric effects. We demonstrate the effectiveness and utility of these techniques on an example multi-spectral scene.

Conference Presentation

Citation Download Citation

James Koch, Brenda Forland, Timothy Doster, and Tegan Emerson "A neural differential equation formulation for modeling atmospheric effects in hyperspectral images", Proc. SPIE 12519, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX , 125190E (13 June 2023); https://doi.org/10.1117/12.2663958

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