Orientational Clustering Learning for Open-Set Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Orientational Clustering Learning for Open-Set Hyperspectral Image 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:

Xu Hao¹^ORCID,Chen Wenjing²^ORCID,Tan Cheng¹^ORCID,Ning Hailong³^ORCID,Sun Hao¹^ORCID,Xie Wei¹^ORCID

Affiliation:

1. Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, the School of Computer Science, and the National Language Resources Monitoring and Research Center for Network Media, Central China Normal University, Wuhan, China

2. School of Computer Science, Hubei University of Technology, Wuhan, China

3. School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, China

Funder

National Natural Science Foundation of China

Knowledge Innovation Program of Wuhan-Shuguang Project

Self-Determined Research Funds of CCNU from the Colleges’ Basic Research and Operation of MOE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10606493.pdf?arnumber=10606493

Reference16 articles.

1. A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification

2. A complementary integrated Transformer network for hyperspectral image classification

3. Pseudolabel-Based Unreliable Sample Learning for Semi-Supervised Hyperspectral Image Classification

4. Scale‐wise interaction fusion and knowledge distillation network for aerial scene recognition

5. 3-D Deep Learning Approach for Remote Sensing Image Classification