A hierarchical receptive network oriented to target recognition in SAR images

作者：

Highlights：

• This paper develops a hierarchical receptive architecture for target recognition in SAR images.

• The proposed architecture is composed of the signal-wise receptive and the patch-wise receptive.

• The empirical knowledge and the learned representation are combined for target recognition.

• Multiple comparative studies are performed to demonstrate the advantage of proposed strategy.

摘要

•This paper develops a hierarchical receptive architecture for target recognition in SAR images.•The proposed architecture is composed of the signal-wise receptive and the patch-wise receptive.•The empirical knowledge and the learned representation are combined for target recognition.•Multiple comparative studies are performed to demonstrate the advantage of proposed strategy.

论文关键词：Target recognition,Deep learning,Knowledge,Hierarchical receptive,SAR Image

论文评审过程：Received 19 November 2020, Revised 26 December 2021, Accepted 25 January 2022, Available online 29 January 2022, Version of Record 3 February 2022.

论文官网地址：https://doi.org/10.1016/j.patcog.2022.108558