SUPER RESOLUTION FOR SATELLITE IMAGES

Systems and methods for generating predicted high-resolution images from low-resolution images. To generate the predicted high-resolution images, the present technology may utilize machine learning models and super resolution models in a series of processes. For instance, the low-resolution images m...

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Bibliographic Details
Main Authors OLSEN, Peder A, CHANDRA, Ranveer, ADIGUN, Olaoluwa
Format Patent
LanguageEnglish
French
German
Published 07.02.2024
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:Systems and methods for generating predicted high-resolution images from low-resolution images. To generate the predicted high-resolution images, the present technology may utilize machine learning models and super resolution models in a series of processes. For instance, the low-resolution images may undergo a sensor transformation based on processing by a machine learning model. The low-resolution images may also be combined with land structure features and/or prior high-resolution images to form an augmented input that is processed by a super resolution model to generate an initial predicted high-resolution image. The predicted initial high-resolution image may be combined or stacked with other predicted high-resolution images to form a stacked image. That stacked image may then be processed by another super resolution model to generate a final predicted high-resolution image.
Bibliography:Application Number: EP20220714307