Successful tracking and detection of resident space objects (RSOs) requires selection of spectral filters that are capable of compensating for the effects of wavelength dependent atmospheric scattering, and material reflectance properties. When operating in an urban environment such as Atlanta, GA the emitted city light pollution is also an important factor. In this study, we perform a multi-spectral optimization for the Georgia Tech Space Object Research Telescope across the visible through infrared spectrum that accounts for atmospheric turbulence, atmospheric transmission, and background sky radiance. The first contribution of this work is the development of a wavelength-dependent performance metric for the detection of RSOs under different atmospheric conditions. The second contribution is the derivation of a simplified model for light pollution that is based on existing astronomy models. This simplified model accounts for double scattering of light and can be used for adding a light pollution component to sky background results that are generated by complex atmospheric simulation tools. The final contribution is the derivation of novel spectral filters that are tuned to the sub-optimal atmospheric seeing conditions of Atlanta, GA and the RSO materials that are considered in this study. While this study is developed for the geographic region of Atlanta, GA and uses simplified bidirectional reflectance distribution models models for spacecraft materials, the framework is generalizable to different geographic regions, weather conditions, and satellite orientations.

成功地跟踪和检测驻留空间物体（RSO），需要选择能够补偿与波长有关的大气散射和材料反射特性的影响的光谱滤光片。在佐治亚州亚特兰大等城市环境中运行时，发出的城市光污染也是一个重要因素。在这项研究中，我们对佐治亚理工大学空间物体研究望远镜在可见光到红外光谱范围内进行了多光谱优化，该光谱解释了大气湍流，大气传输和背景天空辐射。这项工作的第一个贡献是开发了一种波长相关的性能指标，用于检测不同大气条件下的RSO。第二个贡献是基于现有天文学模型推导的光污染简化模型的推导。这种简化的模型考虑了光的两次散射，可用于将光污染成分添加到由复杂的大气模拟工具生成的天空背景结果中。最后的贡献是推导了新颖的光谱滤光片，这些滤光片已针对亚特兰大，佐治亚州的次优大气观测条件和本研究中考虑的RSO材料进行了调整。虽然这项研究是针对佐治亚州亚特兰大的地理区域开发的，并使用了航天器材料的简化双向反射率分布模型模型，但该框架可推广到不同的地理区域，天气条件和卫星方向。