Space Object Detection in Video Satellite Images Using Motion Information
Joint Authors
Zhang, Xueyang
Xiang, Junhua
Zhang, Yulin
Source
International Journal of Aerospace Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-17
Country of Publication
Egypt
No. of Pages
9
Abstract EN
Compared to ground-based observation, space-based observation is an effective approach to catalog and monitor increasing space objects.
In this paper, space object detection in a video satellite image with star image background is studied.
A new detection algorithm using motion information is proposed, which includes not only the known satellite attitude motion information but also the unknown object motion information.
The effect of satellite attitude motion on an image is analyzed quantitatively, which can be decomposed into translation and rotation.
Considering the continuity of object motion and brightness change, variable thresholding based on local image properties and detection of the previous frame is used to segment a single-frame image.
Then, the algorithm uses the correlation of object motion in multiframe and satellite attitude motion information to detect the object.
Experimental results with a video image from the Tiantuo-2 satellite show that this algorithm provides a good way for space object detection.
American Psychological Association (APA)
Zhang, Xueyang& Xiang, Junhua& Zhang, Yulin. 2017. Space Object Detection in Video Satellite Images Using Motion Information. International Journal of Aerospace Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1157746
Modern Language Association (MLA)
Zhang, Xueyang…[et al.]. Space Object Detection in Video Satellite Images Using Motion Information. International Journal of Aerospace Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1157746
American Medical Association (AMA)
Zhang, Xueyang& Xiang, Junhua& Zhang, Yulin. Space Object Detection in Video Satellite Images Using Motion Information. International Journal of Aerospace Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1157746
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1157746