HRLE-SARDet: A Lightweight SAR Target Detection Algorithm Based on Hybrid Representation Learning Enhancement-Reference-Cited by-同舟云学术

HRLE-SARDet: A Lightweight SAR Target Detection Algorithm Based on Hybrid Representation Learning Enhancement

Published:2023 Issue: Volume:61 Page:1-22
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhou Zheng¹^ORCID,Chen Jie¹^ORCID,Huang Zhixiang¹^ORCID,Lv Jianming¹,Song Jiaxing¹,Luo Honglin¹,Wu Bocai²,Li Yingsong¹^ORCID,Diniz Paulo S. R.³^ORCID

Affiliation:

1. Information Materials and Intelligent Sensing Laboratory of Anhui Province, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Electronics and Information Engineering, Anhui University, Hefei, China

2. 38th Research Institute, China Electronics Technology Group Corporation, Hefei, China

3. Department of Electronics and Computer Engineering, Program of Electrical Engineering, COPPE/Poli, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10057265.pdf?arnumber=10057265

Reference62 articles.

1. Contextual Region-Based Convolutional Neural Network with Multilayer Fusion for SAR Ship Detection