Anhui University

Baidong Yao

Zhixiang Huang

Jie Chen

Zheng Zhou

Zihan Cheng

Yun Feng

Huiyao Wan

Jianming Lv

Xiaoping Liu

Jingqian Yu

Runfan Xia

Wentian Du

Bocai Wu

A contextual visual-based synthetic-aperture radar (SAR) target detection method and apparatus, and a storage medium, belonging to the field of target detection is described. The method includes: obtaining an SAR image; and inputting the SAR image into a target detection model, and positioning and recognizing a target in the SAR image by using the target detection model, to obtain a detection result. In the present disclosure, a two-way multi-scale connection operation is enhanced through top-down and bottom-up attention, to guide learning of dynamic attention matrices and enhance feature interaction under different resolutions. The model can extract the multi-scale target feature information with higher accuracy, for bounding box regression and classification, to suppress interfering background information, thereby enhancing the visual expressiveness. After the attention enhancement module is added, the detection performance can be greatly improved with almost no increase in the parameter amount and calculation amount of the whole neck.

Contextual visual-based SAR target detection method and apparatus, and storage medium

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Hefei, China

Baidong Yao