Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification

被引：0
|
作者：
Yao, Jing [1 ]
Cao, Xiangyong [2 ,3 ]
Hong, Danfeng [1 ]
Wu, Xin [4 ]
Meng, Deyu [2 ,5 ]
Chanussot, Jocelyn [6 ,7 ]
Xu, Zongben [8 ]
机构：
[1] Aerospace Information Research Institute, Chinese Academy of Sciences, Key Laboratory of Computational Optical Imaging Technology, Beijing,100094, China
[2] Xi'an Jiaotong University, School of Computer Science and Technology, Xi'an,710049, China
[3] Ministry of Education, Key Laboratory for Intelligent Networks and Network Security, Xi'an,710049, China
[4] Beijing University of Posts and Telecommunications, School of Computer Science, National Pilot Software Engineering School, Beijing,100876, China
[5] Macau University of Science and Technology, Macau Institute of Systems Engineering, Taipa, China
[6] University of Grenoble Alpes, GIPSA-Laboratory, Grenoble Inp, Cnrs, Grenoble,38000, France
[7] Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing,100094, China
[8] Xi'an Jiaotong University, School of Mathematics and Statistics, Xi'an,710049, China
来源：
IEEE Transactions on Geoscience and Remote Sensing | 2022年 / 60卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Agricultural Hyperspectral Image Classification Based on Deep Separable Convolutional Neural Networks
    Liang, Yangyang
    Wu, Yu
    Wang, Gengke
    Zhang, Lili
    SIMULATION TOOLS AND TECHNIQUES, SIMUTOOLS 2021, 2022, 424 : 403 - 420
  • [32] Semi-Supervised Learning via Convolutional Neural Network for Hyperspectral Image Classification
    Ling, Zhigang
    Li, Xiuxin
    Zou, Wen
    Guo, Siyu
    2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2018, : 1900 - 1905
  • [33] SFFNet: Staged Feature Fusion Network of Connecting Convolutional Neural Networks and Graph Convolutional Neural Networks for Hyperspectral Image Classification
    Li, Hao
    Xiong, Xiaorui
    Liu, Chaoxian
    Ma, Yong
    Zeng, Shan
    Li, Yaqin
    APPLIED SCIENCES-BASEL, 2024, 14 (06):
  • [34] Convolutional Neural Networks for image classification
    Jmour, Nadia
    Zayen, Sehla
    Abdelkrim, Afef
    2018 INTERNATIONAL CONFERENCE ON ADVANCED SYSTEMS AND ELECTRICAL TECHNOLOGIES (IC_ASET), 2017, : 397 - 402
  • [35] Consolidated Convolutional Neural Network for Hyperspectral Image Classification
    Chang, Yang-Lang
    Tan, Tan-Hsu
    Lee, Wei-Hong
    Chang, Lena
    Chen, Ying-Nong
    Fan, Kuo-Chin
    Alkhaleefah, Mohammad
    REMOTE SENSING, 2022, 14 (07)
  • [36] A Lightweight Convolutional Neural Network for Hyperspectral Image Classification
    Jia, Sen
    Lin, Zhijie
    Xu, Meng
    Huang, Qiang
    Zhou, Jun
    Jia, Xiuping
    Li, Qingquan
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (05): : 4150 - 4163
  • [37] A dense convolutional neural network for hyperspectral image classification
    Zhi, Lu
    Yu, Xuchu
    Liu, Bing
    Wei, Xiangpo
    REMOTE SENSING LETTERS, 2019, 10 (01) : 59 - 66
  • [38] Semi-supervised convolutional neural networks with label propagation for image classification
    Chen, Lin
    Yu, Shiqi
    Yang, Meng
    2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2018, : 1319 - 1324
  • [39] Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification
    Mou, Lichao
    Lu, Xiaoqiang
    Li, Xuelong
    Zhu, Xiao Xiang
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 58 (12): : 8246 - 8257
  • [40] Spectral-Spatial Hyperspectral Image Classification Using Cascaded Convolutional Neural Networks
    Dovletov, Gurbandurdy
    Hegemann, Tobias
    Pauli, Josef
    IMAGE ANALYSIS, 2019, 11482 : 78 - 89
12345