An Effective Method for Small Targets Detection in Synthetic Aperture Radar Images Under Complex Background
Author:
Affiliation:
1. Department of Information and Communication, University of Electronic Science and Technology of China, Chengdu, China
2. Department of Electrical and Information Engineering, Heilongjiang Institute of Technology, Harbin, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09761915.pdf?arnumber=9761915
Reference31 articles.
1. Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images
2. Ship detection in SAR images based on an improved faster R-CNN
3. SAR Target Small Sample Recognition Based on CNN Cascaded Features and AdaBoost Rotation Forest
4. Ship Detection in Large-Scale SAR Images Via Spatial Shuffle-Group Enhance Attention
5. A modified faster R-CNN based on CFAR algorithm for SAR ship detection
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1. A Fast and Accurate Small Target Detection Algorithm Based on Feature Fusion and Cross-Layer Connection Network for the SAR Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023
2. Lightweight and anchor-free frame detection strategy based on improved CenterNet for multiscale ships in SAR images;Frontiers in Computer Science;2022-11-03
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