Autonomous Satellite Detection and Tracking using Optical Flow
- URL: http://arxiv.org/abs/2204.07025v1
- Date: Thu, 14 Apr 2022 15:23:27 GMT
- Title: Autonomous Satellite Detection and Tracking using Optical Flow
- Authors: David Zuehlke, Daniel Posada, Madhur Tiwari, and Troy Henderson
- Abstract summary: 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.
The detection algorithm is exercised using both simulated star images and ground-based imagery of satellites.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: 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.
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