Semi-supervised classification algorithm for hyperspectral remote sensing image based on DE-self-training

被引：0
|
作者：
Key Laboratory for Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing [1 ]
210023, China
不详 [2 ]
210023, China
不详 [3 ]
210008, China
机构：
来源：
Nongye Jixie Xuebao | / 5卷 / 239-244期
关键词：
Compendex;
D O I：
10.6041/j.issn.1000-1298.2015.05.034
中图分类号：
学科分类号：
摘要：
Iterative methods
引用
收藏
相关论文
共 50 条
  • [1] SEMI-SUPERVISED DIMENSIONALITY REDUCTION FOR HYPERSPECTRAL REMOTE SENSING IMAGE CLASSIFICATION
    Xia, Junshi
    Chanussot, Jocelyn
    Du, Peijun
    He, Xiyan
    2012 4TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING (WHISPERS), 2012,
  • [2] Local Binary Ensemble based Self-training for Semi-supervised Classification of Hyperspectral Remote Sensing Images
    Singh, Pangambam Sendash
    Singh, Vijendra Pratap
    Pandey, Manish Kumar
    Karthikeyan, Subbiah
    COMPUTACION Y SISTEMAS, 2020, 24 (02): : 497 - 509
  • [3] SEMI-SUPERVISED CONDITIONAL RANDOM FIELD FOR HYPERSPECTRAL REMOTE SENSING IMAGE CLASSIFICATION
    Wu, Junfeng
    Jiang, Zhiguo
    Zhang, Haopeng
    Cai, Bowen
    Wei, Quanmao
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 2614 - 2617
  • [4] Advances in semi-supervised classification of hyperspectral remote sensing images
    Yang X.
    Fang L.
    Yue J.
    National Remote Sensing Bulletin, 2024, 28 (01) : 19 - 41
  • [5] Semi-supervised classification method for hyperspectral remote sensing images
    Gomez-Chova, L
    Calpe, J
    Camps-Valls, G
    Martín, JD
    Soria, E
    Vila, J
    Alonso-Chorda, L
    Moreno, J
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 1776 - 1778
  • [6] Image classification of hyperspectral remote sensing using semi- supervised learning algorithm
    Ye, Ansheng
    Zhou, Xiangbing
    Weng, Kai
    Gong, Yu
    Miao, Fang
    Zhao, Huimin
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 20 (06) : 11502 - 11527
  • [7] Semi-supervised collaborative classification for hyperspectral remote sensing image with combination of cluster feature and SVM
    Shao, Zhenfeng, 1600, SinoMaps Press (43):
  • [8] SEMI-SUPERVISED FEATURE LEARNING FOR REMOTE SENSING IMAGE CLASSIFICATION
    Yin, Xiaoshuang
    Yang, Wen
    Xia, Gui-Song
    Dong, Lixia
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 1261 - 1264
  • [9] SEMI-SUPERVISED REMOTE SENSING IMAGE CLASSIFICATION METHODS ASSESSMENT
    Negri, Rogerio Galante
    Siqueia Sant'Anna, Sidnei Joao
    Dutra, Luciano Vieira
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 2939 - 2942
  • [10] Graph based semi-supervised learning with class-probability distance for hyperspectral remote sensing image classification
    Faculty of Mechanical and Electronic Information, China University of Geosciences, Wuhan
    430074, China
    Cehui Xuebao, 11 (1182-1189):
12345