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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| Format: | Article |
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10817102/ |
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| author | Wen Sun Yejin Li Fenghong Li Guangsen Liu Peng Rao |
| author_facet | Wen Sun Yejin Li Fenghong Li Guangsen Liu Peng Rao |
| author_sort | Wen Sun |
| collection | DOAJ |
| description | 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's accuracy, showing close alignment with on-orbit images. In the 2.7–3.0 μm 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% in the 3.0–5.0 μm band, and around 3.7% in the 8.0–14.0 μm band. Morphological assessment shows an average error of about 8.3% 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. |
| format | Article |
| id | doaj-art-f764cb445d444a82ab71e32844a5997c |
| institution | Kabale University |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-f764cb445d444a82ab71e32844a5997c2025-01-21T00:00:39ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-01183025304210.1109/JSTARS.2024.352339510817102Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital TwinWen Sun0https://orcid.org/0009-0008-0813-8190Yejin Li1https://orcid.org/0009-0007-8873-9211Fenghong Li2https://orcid.org/0009-0003-9615-3983Guangsen Liu3https://orcid.org/0009-0001-6024-6075Peng Rao4https://orcid.org/0000-0001-6701-4034Key Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai, ChinaKey Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai, ChinaKey Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai, ChinaKey Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai, ChinaKey Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai, ChinaThe 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's accuracy, showing close alignment with on-orbit images. In the 2.7–3.0 μm 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% in the 3.0–5.0 μm band, and around 3.7% in the 8.0–14.0 μm band. Morphological assessment shows an average error of about 8.3% 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.https://ieeexplore.ieee.org/document/10817102/Cloud-sea scenariodata-drivendigital twinfractal-driveninfrared radiationspace-based infrared payloads |
| spellingShingle | Wen Sun Yejin Li Fenghong Li Guangsen Liu Peng Rao Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital Twin IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Cloud-sea scenario data-driven digital twin fractal-driven infrared radiation space-based infrared payloads |
| title | Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital Twin |
| title_full | Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital Twin |
| title_fullStr | Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital Twin |
| title_full_unstemmed | Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital Twin |
| title_short | Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital Twin |
| title_sort | complex cloud sea background simulation for space based infrared payload digital twin |
| topic | Cloud-sea scenario data-driven digital twin fractal-driven infrared radiation space-based infrared payloads |
| url | https://ieeexplore.ieee.org/document/10817102/ |
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