论文标题
使用光流的自主卫星检测和跟踪
Autonomous Satellite Detection and Tracking using Optical Flow
论文作者
论文摘要
在本文中，使用光流实现了图像中卫星检测和跟踪的自主方法。光流用于估计一系列空间图像中检测到的对象的图像速度。鉴于图像中的大多数对象都是恒星，因此使用恒星运动的总体图像速度用于估计图像到框架的框架运动。然后，被视为正在以与整体图像速度不同的速度轮廓移动的对象被归类为潜在的居民空间对象。检测算法是使用模拟的恒星图像和卫星基于地面图像进行的。最后，将使用商业和开源软件方法对该算法进行测试和比较，以根据其需求为读者提供两种不同的选项。
In this paper, an autonomous method of satellite detection and tracking in images is implemented using optical flow. Optical flow is used to estimate the image velocities of detected objects in a series of space images. Given that most objects in an image will be stars, the overall image velocity from star motion is used to estimate the image's frame-to-frame motion. Objects seen to be moving with velocity profiles distinct from the overall image velocity are then classified as potential resident space objects. The detection algorithm is exercised using both simulated star images and ground-based imagery of satellites. Finally, this algorithm will be tested and compared using a commercial and an open-source software approach to provide the reader with two different options based on their need.
