Target discrimination method for SAR images via convolutional neural network with semi-supervised learning and minimum feature divergence constraint-Reference-Cited by-同舟云学术

Target discrimination method for SAR images via convolutional neural network with semi-supervised learning and minimum feature divergence constraint

Published:2020-10-25 Issue:12 Volume:11 Page:1167-1174
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Wang Ning¹,Wang Yinghua¹,Liu Hongwei¹,Zuo Qunsheng²

Affiliation:

1. National Laboratory of Radar Signal Processing and Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi’an, China

2. China Electronics Technology Group Corporation, Beijing, China

Funder

the Fund for Foreign Scholars in University Research and Teaching Programs

the National Natural Science Foundation of China

the Shaanxi Innovation Team Project

the National Science Fund for Distinguished Young Scholars 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.2020.1828658

Reference17 articles.

1. Target Classification Using the Deep Convolutional Networks for SAR Images

2. Convolutional Neural Network With Data Augmentation for SAR Target Recognition

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