Swin-transformer based target detection with enhanced maritime SAR images data

Xinyu Li; Zhongxun Wang; Jianwei Li; Penghua Mu

doi:10.1117/12.2673920

6 April 2023 Swin-transformer based target detection with enhanced maritime SAR images data

Xinyu Li, Zhongxun Wang, Jianwei Li, Penghua Mu

Proceedings Volume 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022); 126150D (2023) https://doi.org/10.1117/12.2673920
Event: International Conference on Signal Processing and Communication Technology (SPCT 2022), 2022, Harbin, China

Abstract

In the complex remote sensing image detection, there are still many challenges in maritime ship detection. This paper combines the latest swin-transformer model with satellite remote sensing big data, uses the SSDD dataset, researches for maritime ship target detection, realizes the target detection support for SSDD dataset, at the same time, this paper proposes an improved version of augmix method Multiple-augmix, based on the principle of data enhancement for SAR image dataset, is proposed to achieve target detection and data enhancement for SSDD dataset and make comparison experiments. The detection accuracy of swin-transformer can reach 86.5% for the original SSDD dataset, and 96.2% for the SSDD dataset enhanced with Multiple-augmix method, which is 10 percentage points higher than that before enhancement, and at the same time, by conducting experiments with Fasterrcnn, RetinaNet and Focos algorithms and making comparisons, the experiments prove that This framework can achieve high detection accuracy in remote sensing image detection, and the Multiple-augmix method proposed in this paper is very effective in improving the detection accuracy of SSDD dataset. In addition, we verify the effectiveness, stability and accuracy of the above algorithm for SAR image target detection in complex remote sensing scenarios.

Citation Download Citation

Xinyu Li, Zhongxun Wang, Jianwei Li, and Penghua Mu "Swin-transformer based target detection with enhanced maritime SAR images data", Proc. SPIE 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022), 126150D (6 April 2023); https://doi.org/10.1117/12.2673920

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KEYWORDS

Synthetic aperture radar

Target detection

Image enhancement

Remote sensing

Education and training

Transformers

Data modeling

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