Paper
11 October 2023 Research on SAR image target classification based on attention mechanism and data enhancement
Ran Ji, Maosen Xiao, Shuo Li
Author Affiliations +
Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 1291824 (2023) https://doi.org/10.1117/12.3009306
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China
Abstract
Classifying the equipment type of hostile targets in military applications in SAR images is crucial and requires higher classification accuracy. Using data enhancement techniques, this paper conducts an experimental study on the classification of MSTAR dataset using a convolutional neural network with the addition of an attention mechanism and obtains the advantages of strong generalization ability, fast training speed, and high fitting efficiency of the target classification method proposed in this paper.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Ran Ji, Maosen Xiao, and Shuo Li "Research on SAR image target classification based on attention mechanism and data enhancement", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 1291824 (11 October 2023); https://doi.org/10.1117/12.3009306
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KEYWORDS
Education and training

Data modeling

Synthetic aperture radar

Image classification

Image enhancement

Convolutional neural networks

Statistical modeling

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