SAR Target Open-Set Recognition Based on Joint Training of Class-Specific Sub-Dictionary Learning-Reference-Cited by-同舟云学术

SAR Target Open-Set Recognition Based on Joint Training of Class-Specific Sub-Dictionary Learning

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Ma Xiaojie¹^ORCID,Ji Kefeng¹^ORCID,Zhang Linbin¹^ORCID,Feng Sijia¹^ORCID,Xiong Boli¹,Kuang Gangyao¹

Affiliation:

1. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science, National University of Defense Technology, Changsha, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10360172.pdf?arnumber=10360172

Reference18 articles.

1. Adversarial Deception Against SAR Target Recognition Network

2. Multiscale CNN Based on Component Analysis for SAR ATR

3. Probability Models for Open Set Recognition

4. Multi-class open set recognition for SAR imagery

5. Open Set Incremental Learning for Automatic Target Recognition

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