画像合成による軌道上物体の詳細把握技術の研究

In recent years, the demand for Non-Earth Imaging (NEI) has increased for purposes such as monitoring space debris and identifying satellite malfunctions. However, NEI images tend to have significant differences between bright areas illuminated by sunlight and dark shadowed areas. Additionally, when taken from a distance, these images suffer from poor spatial resolution. Moreover, since satellites usually have limited resources, onboard cameras are preferred to be as small and lightweight as possible while maintaining certain imaging capabilities. Focusing on image synthesis techniques, this study examined and tested a method for generating a single high-resolution image from limited satellite resources by applying HDR synthesis and super-resolution processing to multiple images simulating the imaging of orbital objects.