A Wavelet-Driven Subspace Basis Learning Network for High-Resolution Synthetic Aperture Radar Image Classification-Reference-Cited by-同舟云学术

A Wavelet-Driven Subspace Basis Learning Network for High-Resolution Synthetic Aperture Radar Image Classification

Published:2023 Issue: Volume:16 Page:1900-1913
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Ni Kang¹^ORCID,Zhai Mingliang²,Wu Qianqian³,Zou Minrui³,Wang Peng⁴^ORCID

Affiliation:

1. School of Computer Science, Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing University of Posts and Telecommunications, Nanjing, China

2. College of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China

3. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China

4. Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Natural Science Foundation for Colleges and Universities in Jiangsu Province

Nanjing University of Posts and Telecommunications Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10035967.pdf?arnumber=10035967

Reference50 articles.

1. Fisher Vectors for PolSAR Image Classification

2. Subdictionary-Based Joint Sparse Representation for SAR Target Recognition Using Multilevel Reconstruction

3. High-Resolution SAR Image Classification via Multiscale Local Fisher Patterns

4. Ship Detection With Superpixel-Level Fisher Vector in High-Resolution SAR Images

5. Design of New Wavelet Packets Adapted to High-Resolution SAR Images With an Application to Target Detection

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