Orientation Detector for Ship Targets in SAR Images Based on Semantic Flow Feature Alignment and Gaussian Label Matching-Reference-Cited by-同舟云学术

Orientation Detector for Ship Targets in SAR Images Based on Semantic Flow Feature Alignment and Gaussian Label Matching

Published:2023 Issue: Volume:61 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wan Huiyao¹^ORCID,Chen Jie¹^ORCID,Huang Zhixiang¹^ORCID,Du Wentian¹^ORCID,Xu Feng²^ORCID,Wang Feng²^ORCID,Wu Bocai³

Affiliation:

1. Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China

2. Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), School of Information Science and Technology, Fudan University, Shanghai, China

3. 38th Research Institute, China Electronics Technology Group Corporation, Hefei, China

Funder

National Natural Science Foundation of China

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/ielx7/36/10006360/10274718.pdf?arnumber=10274718

Reference57 articles.

1. A Lightweight Position-Enhanced Anchor-Free Algorithm for SAR Ship Detection

2. Ellipse Encoding for Arbitrary-Oriented SAR Ship Detection Based on Dynamic Key Points

3. Cascade R-CNN: Delving Into High Quality Object Detection

4. Exploring Vision Transformers for Polarimetric SAR Image Classification

5. H2Det: A High-Speed and High-Accurate Ship Detector in SAR Images

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