Structure-Preserving Unpaired Image Translation to Photometrically Calibrate JunoCam with Hubble Data
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arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866909930937647104 |
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| author | Singh, Aditya Pratap Shah, Shrey Sankar, Ramanakumar Dahl, Emma Eichstädt, Gerald Georgakis, Georgios Bucher, Bernadette |
| author_facet | Singh, Aditya Pratap Shah, Shrey Sankar, Ramanakumar Dahl, Emma Eichstädt, Gerald Georgakis, Georgios Bucher, Bernadette |
| contents | Insights into Jupiter's atmospheric dynamics are vital for understanding planetary meteorology and exoplanetary gas giant atmospheres. To study these dynamics, we require high-resolution, photometrically calibrated observations. Over the last 9 years, the Juno spacecraft's optical camera, JunoCam, has generated a unique dataset with high spatial resolution, wide coverage during perijove passes, and a long baseline. However, JunoCam lacks absolute photometric calibration, hindering quantitative analysis of the Jovian atmosphere. Using observations from the Hubble Space Telescope (HST) as a proxy for a calibrated sensor, we present a novel method for performing unpaired image-to-image translation (I2I) between JunoCam and HST, focusing on addressing the resolution discrepancy between the two sensors. Our structure-preserving I2I method, SP-I2I, incorporates explicit frequency-space constraints designed to preserve high-frequency features ensuring the retention of fine, small-scale spatial structures - essential for studying Jupiter's atmosphere. We demonstrate that state-of-the-art unpaired image-to-image translation methods are inadequate to address this problem, and, importantly, we show the broader impact of our proposed solution on relevant remote sensing data for the pansharpening task. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_22668 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Structure-Preserving Unpaired Image Translation to Photometrically Calibrate JunoCam with Hubble Data Singh, Aditya Pratap Shah, Shrey Sankar, Ramanakumar Dahl, Emma Eichstädt, Gerald Georgakis, Georgios Bucher, Bernadette Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics Computer Vision and Pattern Recognition Insights into Jupiter's atmospheric dynamics are vital for understanding planetary meteorology and exoplanetary gas giant atmospheres. To study these dynamics, we require high-resolution, photometrically calibrated observations. Over the last 9 years, the Juno spacecraft's optical camera, JunoCam, has generated a unique dataset with high spatial resolution, wide coverage during perijove passes, and a long baseline. However, JunoCam lacks absolute photometric calibration, hindering quantitative analysis of the Jovian atmosphere. Using observations from the Hubble Space Telescope (HST) as a proxy for a calibrated sensor, we present a novel method for performing unpaired image-to-image translation (I2I) between JunoCam and HST, focusing on addressing the resolution discrepancy between the two sensors. Our structure-preserving I2I method, SP-I2I, incorporates explicit frequency-space constraints designed to preserve high-frequency features ensuring the retention of fine, small-scale spatial structures - essential for studying Jupiter's atmosphere. We demonstrate that state-of-the-art unpaired image-to-image translation methods are inadequate to address this problem, and, importantly, we show the broader impact of our proposed solution on relevant remote sensing data for the pansharpening task. |
| title | Structure-Preserving Unpaired Image Translation to Photometrically Calibrate JunoCam with Hubble Data |
| topic | Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2511.22668 |