Spatial-Spectral Adaptive Graph Convolutional Subspace Clustering for Hyperspectral Image

被引：0
|
作者：
Liu, Yuqi [1 ]
Zhu, Enshuo [2 ]
Wang, Qinghe [2 ]
Li, Junhong [3 ]
Liu, Shujun [4 ]
Hu, Yaowen [3 ]
Han, Yuhang [2 ]
Zhou, Guoxiong [1 ]
Guan, Renxiang [3 ]
机构：
[1] Central South University of Forestry and Technology, School of Electronic Information and Physics, Changsha,410004, China
[2] Northeast Forestry University, College of Aulin, Harbin,150040, China
[3] National University of Defense Technology, School of Computer, Changsha,410073, China
[4] University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Enschede,7514AE, Netherlands
来源：
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | 2024年
关键词：
Coefficient matrix - Convolution techniques - Design features - Graph convolution network - HyperSpectral - Hyperspectral image - Neighborhood information - Subspace clustering - Super pixels - Unsupervised classification;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
67
引用
收藏
相关论文
共 50 条
  • [21] Adaptive Graph Convolutional Subspace Clustering
    Wei, Lai
    Chen, Zhengwei
    Yin, Jun
    Zhu, Changming
    Zhou, Rigui
    Liu, Jin
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR, 2023, : 6262 - 6271
  • [22] Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Restoration
    Ying Fu
    Antony Lam
    Imari Sato
    Yoichi Sato
    International Journal of Computer Vision, 2017, 122 : 228 - 245
  • [23] SPATIAL-SPECTRAL CONVOLUTIONAL SPARSE NEURAL NETWORK FOR HYPERSPECTRAL IMAGE DENOISING
    Xiong, Fengchao
    Ye, Minchao
    Zhou, Jun
    Qian, Yuntao
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 1225 - 1228
  • [24] SPATIAL-SPECTRAL COMBINATION CONVOLUTIONAL NEURAL NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
    Pu, Chunyu
    Huang, Hong
    Li, Zhengying
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 2037 - 2040
  • [25] UNSUPERVISED SPATIAL-SPECTRAL HYPERSPECTRAL IMAGE RECONSTRUCTION AND CLUSTERING WITH DIFFUSION GEOMETRY
    Cui, Kangning
    Li, Ruoning
    Polk, Sam L.
    Murphy, James M.
    Plemmons, Robert J.
    Chan, Raymond H.
    2022 12TH WORKSHOP ON HYPERSPECTRAL IMAGING AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2022,
  • [26] Spatial-spectral neighbour graph for dimensionality reduction of hyperspectral image classification
    Li, Dongqing
    Wang, Xuesong
    Cheng, Yuhu
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 40 (11) : 4361 - 4383
  • [27] CONVOLUTIONAL AUTOENCODER FOR SPATIAL-SPECTRAL HYPERSPECTRAL UNMIXING
    Palsson, Burkni
    Ulfarsson, Magnus O.
    Sveinsson, Johannes R.
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 357 - 360
  • [28] Deep Low-Rank Graph Convolutional Subspace Clustering for Hyperspectral Image
    Han, Tianhao
    Niu, Sijie
    Gao, Xizhan
    Yu, Wenyue
    Cui, Na
    Dong, Jiwen
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [29] Spatial-Spectral Graph Contrastive Clustering With Hard Sample Mining for Hyperspectral Images
    Guan, Renxiang
    Tu, Wenxuan
    Li, Zihao
    Yu, Hao
    Hu, Dayu
    Chen, Yuzeng
    Tang, Chang
    Yuan, Qiangqiang
    Liu, Xinwang
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62
  • [30] Hyperspectral image change detection based on active convolutional neural network and spatial-spectral affinity graph learning
    Song, Ruoxi
    Feng, Yining
    Xing, Chengdi
    Mu, Zhenhua
    Wang, Xianghai
    APPLIED SOFT COMPUTING, 2022, 125
12345