Multistage Superpixel-Guided Hyperspectral Image Classification With Sparse Graph Attention Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Multistage Superpixel-Guided Hyperspectral Image Classification With Sparse Graph Attention Networks

Published:2023 Issue: Volume:61 Page:1-18
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Weiming¹^ORCID,Liu Qikang¹,Fan Shuaishuai¹^ORCID,Bai Hongyang²,Xin Mingrui³

Affiliation:

1. School of Information and Electronic Engineering, Shandong Technology and Business University (STBU), Yantai, China

2. School of Energy and Power Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China

3. School of Information Science and Engineering, Harbin Institute of Technology, Weihai (HIT Weihai), Weihai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10216369.pdf?arnumber=10216369

Reference55 articles.

1. Unsupervised spectral–spatial multiscale feature learning framework for hyperspectral image classification based on multiple kernel self-organizing maps

2. Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification

3. Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network

4. Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning

5. Multilevel Superpixel Structured Graph U-Nets for Hyperspectral Image Classification

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ETGC2-net: an enhanced transformer and graph convolution combined network for landslide detection;Natural Hazards;2024-07-26

2. Hyperspectral image classification based on local feature decoupling and hybrid attention SpectralFormer network;International Journal of Remote Sensing;2024-02-21

3. Double-Branch Multilevel Skip Sparse Graph Attention Network for Hyperspectral Image Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. A Dual-Branch Multiscale Transformer Network for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

5. DELFormer: detail-enhanced lightweight transformer for road segmentation;Journal of Applied Remote Sensing;2023-11-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3