Fei Gao
A novel visual attention method for target detection from SAR images
Gao, Fei; Liu, Aidong; Liu, Kai; Yang, Erfu; Hussain, Amir
Abstract
Synthetic Aperture Radar (SAR) imaging systems have been widely used in civil and military fields due to their all-weather and all-day abilities and various other advantages. However, due to image data exponentially increasing, there is a need for novel automatic target detection and recognition technologies. In recent years, the visual attention mechanism in the visual system has helped humans effectively deal with complex visual signals. In particular, biologically inspired top-down attention models have garnered much attention recently. This paper presents a visual attention model for SAR target detection, comprising a bottom-up stage and top-down process. In the bottom-up step, the Itti model is improved based on the difference between SAR and optical images. The top-down step fully utilizes prior information to further detect targets. Extensive detection experiments carried out on the benchmark Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset show that, compared with typical visual models and other popular detection methods, our model has increased ability and robustness for SAR target detection, under a range of Signal to Clutter Ratio (SCR) conditions and scenes. In addition, results obtained using only the bottom-up stage are inferior to those of the proposed method, further demonstrating the effectiveness and rationality of a top-down strategy. In summary, our proposed visual attention method can be considered a potential benchmark resource for the SAR research community.
Citation
Gao, F., Liu, A., Liu, K., Yang, E., & Hussain, A. (2019). A novel visual attention method for target detection from SAR images. Chinese Journal of Aeronautics, 32(8), 1946-1958. https://doi.org/10.1016/j.cja.2019.03.021
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 14, 2019 |
Online Publication Date | Apr 25, 2019 |
Publication Date | 2019-08 |
Deposit Date | Oct 10, 2019 |
Publicly Available Date | Mar 29, 2024 |
Journal | Chinese Journal of Aeronautics |
Print ISSN | 1000-9361 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 32 |
Issue | 8 |
Pages | 1946-1958 |
DOI | https://doi.org/10.1016/j.cja.2019.03.021 |
Keywords | Learning strategy, Synthetic Aperture Radar (SAR) images, Target detection, Top-down, Visual attention mechanism |
Public URL | http://researchrepository.napier.ac.uk/Output/2214817 |
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A novel visual attention method for target detection from SAR images
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Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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