Ground target recognition in SAR image based on improved SSD

Chengjia Zhang

doi:10.1117/12.3034859

11 July 2024 Ground target recognition in SAR image based on improved SSD

Chengjia Zhang

Proceedings Volume 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024); 132100D (2024) https://doi.org/10.1117/12.3034859
Event: Third International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2024, Wuhan, China

Abstract

To solve the problem that the ground target in SAR image is small in scale and there may be complex background around it, a improved SSD model for ground target recognition is proposed to ameliorate the accuracy and the speed of detection about SAR small target. The feature fusion module is added to the SSD model, while the context information is introduced to the large-scale feature maps. The attention mechanism is introduced, when the squeeze-excitation module with lower computational cost is added, so that the model can reconstruct the every channel. The experimental results on the MSTAR dataset suggest that the improved SSD is superior to other typical one-stage algorithms in accuracy and speed of detection, which can satisfy the needs of real-time ground target recognition.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chengjia Zhang "Ground target recognition in SAR image based on improved SSD", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 132100D (11 July 2024); https://doi.org/10.1117/12.3034859

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