A Sidelobe-Aware Small Ship Detection Network for Synthetic Aperture Radar Imagery-Reference-Cited by-同舟云学术

A Sidelobe-Aware Small Ship Detection Network for Synthetic Aperture Radar Imagery

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:

Zhou Yongsheng¹^ORCID,Liu Hanchao¹,Ma Fei¹^ORCID,Pan Zongxu²^ORCID,Zhang Fan³^ORCID

Affiliation:

1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. College of Information Science and Technology and the Interdisciplinary Research Center for Artificial Intelligence, Beijing University of Chemical Technology, Beijing, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10091564.pdf?arnumber=10091564

Reference66 articles.

1. Large-Difference-Scale Target Detection Using a Revised Bhattacharyya Distance in SAR Images

2. Ship Detection for Complex Background SAR Images Based on a Multiscale Variance Weighted Image Entropy Method

3. Libra R-CNN: Towards Balanced Learning for Object Detection

4. AIR-SARShip-1.0: High-resolution SAR ship detection dataset;sun;J Radars,2019

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