Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital Twin

Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital Twin

The advent of Industry 4.0 has highlighted the requirements for the digitization and intelligent evolution of space-based payloads. To address challenges like limited data samples and simulate infrared images in various scenarios, this study proposes a hybrid data-driven and fractal-driven cloud-sea...

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Bibliographic Details
Main Authors: Wen Sun, Yejin Li, Fenghong Li, Guangsen Liu, Peng Rao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Cloud-sea scenario
data-driven
digital twin
fractal-driven
infrared radiation
space-based infrared payloads
Online Access:https://ieeexplore.ieee.org/document/10817102/
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Summary:The advent of Industry 4.0 has highlighted the requirements for the digitization and intelligent evolution of space-based payloads. To address challenges like limited data samples and simulate infrared images in various scenarios, this study proposes a hybrid data-driven and fractal-driven cloud-sea scenario simulation approach for high-precision infrared images at space-based detection scales. Static cloud-sea scenes are generated using Qilu-2 and New Technology satellite images, while dynamic scenarios are simulated with our iterative fractal dimension optimization algorithm. Next, we propose a high-precision infrared cloud-sea simulation method based on these simulate scenarios. Finally, we validate the confidence of the simulated images through morphological assessment using a 2-D histogram and radiative accuracy evaluation based on Moderate resolution atmospheric transmission (MODTRAN) results. Experimental results confirm the method&#x0027;s accuracy, showing close alignment with on-orbit images. In the 2.7&#x2013;3.0 &#x03BC;m band, our average radiance is consistent with MODTRAN. Specifically, for reflection angles below 60<inline-formula><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula>, the root mean square error between our results and MODTRAN results is about 12.3&#x0025; in the 3.0&#x2013;5.0 &#x03BC;m band, and around 3.7&#x0025; in the 8.0&#x2013;14.0 &#x03BC;m band. Morphological assessment shows an average error of about 8.3&#x0025; when compared to on-orbit images. This method allows for generating multiband, multispecies, and multiscale complex cloud-sea scenario images for digital infrared payloads with high flexibility and confidence.
ISSN:1939-1404
2151-1535

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