Graph-in-Graph Convolutional Network for Hyperspectral Image Classification

被引：39
|
作者：
Jia, Sen [1 ,2 ]
Jiang, Shuguo [1 ,2 ]
Zhang, Shuyu [1 ,2 ]
Xu, Meng [1 ,2 ]
Jia, Xiuping [3 ]
机构：
[1] College of Computer Science and Software Engineering, Shenzhen University, Shenzhen,518060, China
[2] Key Laboratory for Geo-Environmental Monitoring of Coastal Zone, Shenzhen University, Ministry of Natural Resources, Shenzhen,518060, China
[3] School of Engineering and Information Technology, University of New South Wales, Canberra,ACT 2612, Australia
来源：
IEEE Transactions on Neural Networks and Learning Systems | 2024年 / 35卷 / 01期
关键词：
54;
D O I：
10.1109/TNNLS.2022.3182715
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1157 / 1171
相关论文
共 50 条
  • [1] Hyperspectral Image Classification With Contrastive Graph Convolutional Network
    Yu, Wentao
    Wan, Sheng
    Li, Guangyu
    Yang, Jian
    Gong, Chen
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
  • [2] Semisupervised graph convolutional network for hyperspectral image classification
    Liu, Bing
    Gao, Kuiliang
    Yu, Anzhu
    Guo, Wenyue
    Wang, Ruirui
    Zuo, Xibing
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2020, 14 (02):
  • [3] Fuzzy graph convolutional network for hyperspectral image classification
    Xu, Jindong
    Li, Kang
    Li, Ziyi
    Chong, Qianpeng
    Xing, Haihua
    Xing, Qianguo
    Ni, Mengying
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 127
  • [4] Spatial Pooling Graph Convolutional Network for Hyperspectral Image Classification
    Zhang, Xiangrong
    Chen, Shutong
    Zhu, Peng
    Tang, Xu
    Feng, Jie
    Jiao, Licheng
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [5] Global Consistent Graph Convolutional Network for Hyperspectral Image Classification
    Ding, Yun
    Guo, Yuanyuan
    Chong, Yanwen
    Pan, Shaoming
    Feng, Jinpeng
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70
  • [6] Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
    Wan, Sheng
    Gong, Chen
    Zhong, Ping
    Du, Bo
    Zhang, Lefei
    Yang, Jian
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 58 (05): : 3162 - 3177
  • [7] An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification
    Zhang, Zijia
    Cai, Yaoming
    Liu, Xiaobo
    Zhang, Min
    Meng, Yan
    [J]. REMOTE SENSING, 2024, 16 (01)
  • [8] Attention Graph Convolutional Network for Disjoint Hyperspectral Image Classification
    Jamali, Ali
    Roy, Swalpa Kumar
    Hong, Danfeng
    Atkinson, Peter M.
    Ghamisi, Pedram
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 21 : 1 - 5
  • [9] Data Augmented Graph Convolutional Network for Hyperspectral Image Classification
    Yang, Chunlan
    Xue, Dawei
    [J]. 2024 2ND ASIA CONFERENCE ON COMPUTER VISION, IMAGE PROCESSING AND PATTERN RECOGNITION, CVIPPR 2024, 2024,
  • [10] EGCN: Enhanced Graph Convolutional Network for Hyperspectral Image Classification
    Yang, Chunlan
    Xue, Dawei
    [J]. PROCEEDINGS OF THE 2024 3RD INTERNATIONAL CONFERENCE ON NETWORKS, COMMUNICATIONS AND INFORMATION TECHNOLOGY, CNCIT 2024, 2024, : 150 - 155
12345