US 12,131,438 B2
Synthetic aperture radar (SAR) image target detection method
Jie Chen, Hefei (CN); Huiyao Wan, Hefei (CN); Zhixiang Huang, Hefei (CN); Xiaoping Liu, Hefei (CN); Bocai Wu, Hefei (CN); Runfan Xia, Hefei (CN); Zheng Zhou, Hefei (CN); Jianming Lv, Hefei (CN); Yun Feng, Hefei (CN); Wentian Du, Hefei (CN); and Jingqian Yu, Hefei (CN)
Assigned to Anhui University, Hefei (CN); and Anhui Zhongke Xinglian Information Technology Co., Ltd., Hefei (CN)
Filed by Anhui University, Hefei (CN); and Anhui Zhongke Xinglian Information Technology Co., Ltd., Hefei (CN)
Filed on Feb. 10, 2022, as Appl. No. 17/668,483.
Claims priority of application No. 202111455414 (CN), filed on Dec. 1, 2021.
Prior Publication US 2023/0169623 A1, Jun. 1, 2023
Int. Cl. G06T 3/40 (2024.01); G01S 13/90 (2006.01); G06V 10/40 (2022.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G06V 10/94 (2022.01)
CPC G06T 3/40 (2013.01) [G01S 13/9021 (2019.05); G06V 10/40 (2022.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/774 (2022.01); G06V 10/95 (2022.01); G06V 2201/07 (2022.01)] 7 Claims
OG exemplary drawing
 
1. A synthetic aperture radar (SAR) image target detection method, comprising the following steps:
performing feature extraction on an SAR image with a backbone feature extraction network;
inputting a feature extraction result to an attention enhancement pyramid attention network;
performing, by the attention enhancement pyramid attention network, parameter aggregation with features of different scales to extract multiscale information of a target object in the SAR image; and
extracting, by a target detection head, spatial hierarchical information of different reception fields from the multiscale information of the target object through different dilation rates.