黎明分幅相机II的飞行中校准:平场和杂散光校正
In-flight calibration of the Dawn Framing Camera II: Flat fields and stray light correction
摘要:
美国宇航局黎明号航天器在为期一年的轨道旅行中获得了小行星灶神星的数千张图像,现在正在前往小行星谷神星的途中。Schröder等人(2013; Icarus 226,1304)描述了一种用于校准机载分幅相机采集的图像的方法。然而,他们的方法仅对点源有效。在本文中,我们扩展的校准像灶神星扩展源的图像。为此,我们设计了一个一阶校正的现场杂散光,这是已知的瘟疫通过窄带滤波器拍摄的图像,并修订发射前在积分球中获得的平坦领域。我们使用灶神星表面的校准图像为所有滤波器构建简单的光度模型,这使我们能够研究光谱如何随着相位角的增加而变化(相位变红)。结合这些模型,我们的校准方法可用于创建近乎无缝的马赛克,辐射精确到百分之几。JVesta是JMARS地理信息系统的Vesta版本,提供了这种镶嵌图。
英文摘要:
The NASA Dawn spacecraft acquired thousands of images of asteroid Vesta during its year-long orbital tour, and is now on its way to asteroid Ceres. A method for calibrating images acquired by the onboard Framing Camera was described by Schröder et al. (2013; Icarus 226, 1304). However, their method is only valid for point sources. In this paper we extend the calibration to images of extended sources like Vesta. For this, we devise a first-order correction for in-field stray light, which is known to plague images taken through the narrow band filters, and revise the flat fields that were acquired in an integrating sphere before launch. We used calibrated images of the Vesta surface to construct simple photometric models for all filters, that allow us to study how the spectrum changes with increasing phase angle (phase reddening). In combination with these models, our calibration method can be used to create near-seamless mosaics that are radiometrically accurate to a few percent. Such mosaics are provided in JVesta, the Vesta version of the JMARS geographic information system.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。