Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges-Reference-Cited by-同舟云学术

Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges

Published:2023-10 Issue:4 Volume:9 Page:4-12
ISSN:2333-942X
Container-title:IEEE Systems, Man, and Cybernetics Magazine
language:
Short-container-title:IEEE Syst. Man Cybern. Mag.

Author:

Liu Qi¹^ORCID,Yang Zhiyun²,Ji Ru²,Zhang Yonghong³,Bilal Muhammad⁴^ORCID,Liu Xiaodong⁵^ORCID,Vimal S.⁶^ORCID,Xu Xiaolong²^ORCID

Affiliation:

1. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

2. Nanjing University of Information Science and Technology, Nanjing, China

3. School of Automation, Nanjing University of Information Science and Technology, Nanjing, China

4. School of Computing and Communications, Lancaster University, Lancaster, U.K.

5. IIDI, Edinburgh Napier University, Edinburgh, U.K.

6. Department of Artificial Intelligence and Data Science, Ramco Institute of Technology, Rajapalayam, Tamilnadu, India

Funder

Key Laboratory Foundation of National Defense Technology

National Natural Science Foundation of China

5150 Spring Specialists

National Social Science Fund of China

China Natural Science Foundation Council

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Human Factors and Ergonomics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6745853/10285462/10285546.pdf?arnumber=10285546

Reference41 articles.

1. Pluralistic Image Completion

2. An Input Sampling Scheme to Radar Echo Extrapolation For RNN-Based Models

3. Shift-Net: Image Inpainting via Deep Feature Rearrangement

4. A self-attention integrated spatiotemporal LSTM approach to edge-radar echo extrapolation in the Internet of Radars

5. Generative Image Inpainting with Contextual Attention