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Fast Image Registration for Spacecraft Autonomous Navigation Using Natural Landmarks
Joint Authors
Yu, Feng
Hua, Bing
Wu, Yunhua
Chen, Zhiming
Ge, Lin-Lin
Wang, Feng
Source
International Journal of Aerospace Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-12
Country of Publication
Egypt
No. of Pages
12
Abstract EN
In order to satisfy the real-time requirement of spacecraft autonomous navigation using natural landmarks, a novel algorithm called CSA-SURF (chessboard segmentation algorithm and speeded up robust features) is proposed to improve the speed without loss of repeatability performance of image registration progress.
It is a combination of chessboard segmentation algorithm and SURF.
Here, SURF is used to extract the features from satellite images because of its scale- and rotation-invariant properties and low computational cost.
CSA is based on image segmentation technology, aiming to find representative blocks, which will be allocated to different tasks to speed up the image registration progress.
To illustrate the advantages of the proposed algorithm, PCA-SURF, which is the combination of principle component analysis and SURF, is also analyzed in this paper for comparison.
Furthermore, random sample consensus (RANSAC) algorithm is applied to eliminate the false matches for further accuracy improvement.
The simulation results show that the proposed strategy obtains good results, especially in scaling and rotation variation.
Besides, CSA-SURF decreased 50% of the time in extraction and 90% of the time in matching without losing the repeatability performance by comparing with SURF algorithm.
The proposed method has been demonstrated as an alternative way for image registration of spacecraft autonomous navigation using natural landmarks.
American Psychological Association (APA)
Wu, Yunhua& Ge, Lin-Lin& Wang, Feng& Hua, Bing& Chen, Zhiming& Yu, Feng. 2018. Fast Image Registration for Spacecraft Autonomous Navigation Using Natural Landmarks. International Journal of Aerospace Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1167818
Modern Language Association (MLA)
Wu, Yunhua…[et al.]. Fast Image Registration for Spacecraft Autonomous Navigation Using Natural Landmarks. International Journal of Aerospace Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1167818
American Medical Association (AMA)
Wu, Yunhua& Ge, Lin-Lin& Wang, Feng& Hua, Bing& Chen, Zhiming& Yu, Feng. Fast Image Registration for Spacecraft Autonomous Navigation Using Natural Landmarks. International Journal of Aerospace Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1167818
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1167818