CVGAN: A Cross-View SAR Image Generation Method for Enhancing the View Diversity-Reference-Cited by-同舟云学术

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CVGAN: A Cross-View SAR Image Generation Method for Enhancing the View Diversity

Published:2023-06-03 Issue:6 Volume:14 Page:631-640
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Dai Qijun¹,Zhang Gong¹^ORCID,Fang Zheng¹^ORCID,Xue Biao¹

Affiliation:

1. School of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Natural Science Foundation of China

Funding for Outstanding Doctoral Dissertation in NUAA

Aeronautical Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2023.2221795

Reference14 articles.

1. New SAR target recognition based on YOLO and very deep multi-canonical correlation analysis

2. Deep feature extraction and combination for synthetic aperture radar target classification

3. SAR-Oriented Visual Saliency Model and Directed Acyclic Graph Support Vector Metric Based Target Classification

4. LDGAN: A Synthetic Aperture Radar Image Generation Method for Automatic Target Recognition

5. Selection of multi-view SAR images via nonlinear correlation information entropy with application to target classification

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