SYSTEM AND METHOD FOR GAUSSIAN PROCESS AND DEEP LEARNING ATMOSPHERIC CORRECTION

Embodiments can relate to a system for producing a digital image by automatically correcting for scattering and/or absorption effects in an original digital image. The system can include a processor. The system can include memory containing a computer program that when executed will cause the proces...

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Bibliographic Details
Main Authors BASENER, William, BASENER, Abigail
Format Patent
LanguageEnglish
Published 02.05.2024
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:Embodiments can relate to a system for producing a digital image by automatically correcting for scattering and/or absorption effects in an original digital image. The system can include a processor. The system can include memory containing a computer program that when executed will cause the processor to receive radiance spectra of a digital image, and execute a Gaussian machine learning model. The system can generate a reflectance parameter by predicting a ground reflectance value based on a Gaussian probability distribution of radiance spectra. The system can solve for a conversion coefficient based on the reflectance parameter. The system can produce an altered digital image by at least one or more of removing, filtering, and/or altering data for at least one pixel of a digital image based on the conversion coefficient.
Bibliography:Application Number: US202318495324