{"ID":2836083,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.22668","arxiv_id":"2511.22668","title":"Structure-Preserving Unpaired Image Translation to Photometrically Calibrate JunoCam with Hubble Data","abstract":"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.","short_abstract":"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 uniqu...","url_abs":"https://arxiv.org/abs/2511.22668","url_pdf":"https://arxiv.org/pdf/2511.22668v1","authors":"[\"Aditya Pratap Singh\",\"Shrey Shah\",\"Ramanakumar Sankar\",\"Emma Dahl\",\"Gerald Eichstädt\",\"Georgios Georgakis\",\"Bernadette Bucher\"]","published":"2025-11-27T18:01:44Z","proceeding":"astro-ph.IM","tasks":"[\"astro-ph.IM\",\"astro-ph.EP\",\"cs.CV\"]","methods":"[]","has_code":false}