Robust Self-Paced Incremental Learning for Multitemporal Remote Sensing Image Classification

被引：0
|
作者：
Li, Hao [1 ]
Niu, Pengyang [1 ]
Gong, Maoguo [2 ,3 ]
Xing, Lining [1 ]
Wu, Yue [4 ]
Qin, A.K. [5 ]
机构：
[1] Xidian University, School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Shaanxi, Xi'an,710071, China
[2] Xidian University, School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xi'an,710071, China
[3] Inner Mongolia Normal University, Academy of Artificial Intelligence, College of Mathematics Science, Hohhot,010010, China
[4] Xidian University, School of Computer Science and Technology, Xi'an,710071, China
[5] Swinburne University of Technology, Department of Computing Technologies, Hawthorn,VIC,3122, Australia
来源：
IEEE Transactions on Geoscience and Remote Sensing | 2024年 / 62卷
关键词：
Compendex;
D O I：
10.1109/TGRS.2024.3466309
中图分类号：
学科分类号：
摘要：
Change detection - Image enhancement - Optical remote sensing - Self-supervised learning
引用
收藏
相关论文
共 50 条
  • [31] CLASSIFICATION OF POLSAR IMAGES BASED ON SVM WITH SELF-PACED LEARNING OPTIMIZATION
    Chen, Wenshuai
    Hai, Dong
    Gou, Shuiping
    Jiao, Licheng
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 4491 - 4494
  • [32] Steel surface defects classification method based on self-paced learning
    Liang, Delong
    Chen, Dali
    Liu, Shixin
    Jia, Xu
    Zhao, Chunna
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 7540 - 7545
  • [33] Adaptive Graph Learning for Semi-supervised Self-paced Classification
    Long Chen
    Jianbo Lu
    Neural Processing Letters, 2022, 54 : 2695 - 2716
  • [34] Improved Classification Model for Peptide Identification Based on Self-paced Learning
    Wang, Yongxiang
    Liang, Xijun
    Xia, Zhonghang
    Niu, Xinnan
    Link, Andrew J.
    Yin, Haiqing
    2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2017, : 258 - 261
  • [35] SPGLAD: A Self-paced Learning-Based Crowdsourcing Classification Model
    Zhang, Xianchao
    Shi, Heng
    Li, Yuangang
    Liang, Wenxin
    TRENDS AND APPLICATIONS IN KNOWLEDGE DISCOVERY AND DATA MINING, 2017, 2017, 10526 : 189 - 201
  • [36] Self-paced learning with privileged information
    Xu, Wei
    Liu, Wei
    Chi, Haoyuan
    Qiu, Song
    Jin, Yu
    NEUROCOMPUTING, 2019, 362 : 147 - 155
  • [37] Adaptive Graph Learning for Semi-supervised Self-paced Classification
    Chen, Long
    Lu, Jianbo
    NEURAL PROCESSING LETTERS, 2022, 54 (04) : 2695 - 2716
  • [38] Classwise Self-Paced Self-Training for Semi-Supervised Image Classification
    Lu, Cheng-Yu
    Hsu, Heng-Cheng
    Chiang, Chen-Kuo
    2023 ASIA PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE, APSIPA ASC, 2023, : 753 - 758
  • [39] Self-Paced Learning for Matrix Factorization
    Zhao, Qian
    Meng, Deyu
    Jiang, Lu
    Xie, Qi
    Xu, Zongben
    Hauptmann, Alexander G.
    PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2015, : 3196 - 3202
  • [40] Self-Paced Broad Learning System
    Liu, Licheng
    Cai, Luyang
    Xie, Ting
    Wang, Yaonan
    IEEE TRANSACTIONS ON CYBERNETICS, 2023, 53 (06) : 4029 - 4042
12345