Product Dictionary Learning-Based SAR Target Configuration Recognition
Joint Authors
Chen, Shichao
Liu, Ming
Lu, Fugang
Liu, Junsheng
Source
International Journal of Antennas and Propagation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Dictionary construction is a key factor for the sparse representation- (SR-) based algorithms.
It has been verified that the learned dictionaries are more effective than the predefined ones.
In this paper, we propose a product dictionary learning (PDL) algorithm to achieve synthetic aperture radar (SAR) target configuration recognition.
The proposed algorithm obtains the dictionaries from a statistical standpoint to enhance the robustness of the proposed algorithm to noise.
And, taking the inevitable multiplicative speckle in SAR images into account, the proposed algorithm employs the product model to describe SAR images.
A more accurate description of the SAR image results in higher recognition rates.
The accuracy and robustness of the proposed algorithm are validated by the moving and stationary target acquisition and recognition (MSTAR) database.
American Psychological Association (APA)
Liu, Ming& Chen, Shichao& Lu, Fugang& Liu, Junsheng. 2020. Product Dictionary Learning-Based SAR Target Configuration Recognition. International Journal of Antennas and Propagation،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1169096
Modern Language Association (MLA)
Liu, Ming…[et al.]. Product Dictionary Learning-Based SAR Target Configuration Recognition. International Journal of Antennas and Propagation No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1169096
American Medical Association (AMA)
Liu, Ming& Chen, Shichao& Lu, Fugang& Liu, Junsheng. Product Dictionary Learning-Based SAR Target Configuration Recognition. International Journal of Antennas and Propagation. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1169096
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169096