用哈勃数据给朱诺相机图像做光照校准，还原精细大气结构。
Structure-Preserving Unpaired Image Translation to Photometrically Calibrate JunoCam with Hubble Data
- 提出结构保真图像翻译方法，解决分辨率差异问题。
- 保留高频细节，使小尺度云层结构清晰可见。
- 适用于行星遥感、图像超分辨等多领域数据校准。
对木星大气动力学的深入研究有助于理解行星气象及系外气态巨行星大气。为此需要高分辨率、光度校准的观测数据。过去9年，朱诺号探测器的光学相机JunoCam提供了高空间分辨率、广覆盖且长期连续的数据集。然而，JunoCam缺乏绝对光度校准，限制了木星大气的定量分析。本文利用哈勃太空望远镜（HST）观测作为已校准传感器的代理，提出一种新型无配对图像到图像翻译（I2I）方法，实现JunoCam与HST之间的映射，重点解决两者的分辨率差异问题。所提出的结构保真图像翻译方法（SP-I2I）引入显式频域约束，以保留高频特征，确保细小空间结构不丢失——这对研究木星大气至关重要。我们证明当前最先进的无配对I2I方法无法有效应对该问题，并进一步展示了该方法在相关遥感数据中用于图像锐化（pansharpening）任务的广泛影响。
原文摘要 · Abstract (English)
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.
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