In this paper, we present an algorithm developed to detect Earth-orbiting object streaks within astronomical images. The NASA Wide-field Infrared Survey Explorer (WISE) database of imagery was selected, in order to assess the viability of infrared wavelengths for the detection and analysis of satellite, rocket body and debris objects. The algorithm was designed to scan a high volume of images for the presence of streaks and then to correlate these to known Earth-orbiting objects without the use of a-priori knowledge of position or orbit parameters of the detected object. As part of the streak analysis process, the algorithm performed a photometric characterisation of the detected objects in all four infrared bands observed by the WISE satellite. The performance of the photometric analysis module was validated against known stellar magnitudes as well as the results of previous published research.

在本文中，我们提出了一种算法，用于检测天文图像中的绕地球轨道的物体条纹。选择了NASA广域红外勘测资源图（WISE）图像数据库，以评估用于探测和分析卫星，火箭弹和碎片物体的红外波长的可行性。该算法的设计目的是扫描大量图像中是否存在条纹，然后将这些图像与已知的地球轨道物体相关联，而无需使用对被检测物体的位置或轨道参数的先验知识。作为条纹分析过程的一部分，该算法对WISE卫星观测到的所有四个红外波段中的检测到的物体进行了光度表征。