Diversity-Infused Network for Unsupervised Few-Shot Remote Sensing Scene Classification-Reference-Cited by-同舟云学术

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Diversity-Infused Network for Unsupervised Few-Shot Remote Sensing Scene Classification

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:

Hou Liyuan¹^ORCID,Ji Zhong¹^ORCID,Wang Xuan¹^ORCID,Yu Yunlong²^ORCID,Pang Yanwei¹^ORCID

Affiliation:

1. School of Electrical and Information Engineering and Tianjin Key Laboratory of Brain-Inspired Intelligence Technology, Tianjin University, Tianjin, China

2. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10462229.pdf?arnumber=10462229

Reference20 articles.

1. Lifelong Learning for Scene Recognition in Remote Sensing Images

2. Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities

3. Dual Contrastive Network for Few-Shot Remote Sensing Image Scene Classification

4. Unsupervised learning via meta-learning;Hsu;arXiv:1810.02334,2018

5. Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space

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