Recognition of Deformation Military Targets in the Complex Scenes via MiniSAR Submeter Images With FASAR-Net-Reference-Cited by-同舟云学术

Recognition of Deformation Military Targets in the Complex Scenes via MiniSAR Submeter Images With FASAR-Net

Published:2023 Issue: Volume:61 Page:1-19
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Lv Jiming¹^ORCID,Zhu Daiyin¹^ORCID,Geng Zhe¹^ORCID,Han Shengliang¹^ORCID,Wang Yu¹^ORCID,Yang Weixing¹^ORCID,Ye Zheng¹^ORCID,Zhou Tao¹

Affiliation:

1. Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

Aeronautical Science Foundation of China

National Natural Science Foundation of China

Guangdong Basic and Applied Basic Research Foundation

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10138435.pdf?arnumber=10138435

Reference53 articles.

1. Deep learning for target classification from SAR imagery data augmentation and translation invariance;furukawa;Space Aeronaut Navigational Electron,2017

2. LCS-EnsemNet: A Semisupervised Deep Neural Network for SAR Image Change Detection With Dual Feature Extraction and Label-Consistent Self-Ensemble

3. Zero-Shot Learning of SAR Target Feature Space With Deep Generative Neural Networks

4. SAR Target Image Classification Based on Transfer Learning and Model Compression

5. BaseTransformers: Attention over base data-points for one shot learning;maniparambil;arXiv 2210 02476,2022

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