Study on the effect of training samples on the accuracy of crop remote sensing classification

被引:0
|
作者
机构
[1] Pan, Hongtao
[2] Wang, Xuan
[3] Wang, Xiaofei
来源
Wang, Xiaofei (nk_wxf@hlju.edu.cn) | 2017年 / Chinese Society of Astronautics卷 / 46期
关键词
655.2 Satellites - 723.2 Data Processing and Image Processing - 821.4 Agricultural Products - 922.1 Probability Theory;
D O I
S126003
中图分类号
学科分类号
摘要
15
引用
收藏
相关论文
共 50 条
  • [1] Remote Sensing Image Classification With Small Training Samples Based On Grey Theory
    Zhang, Dongshui
    Chen, Xinbao
    Han, Yongshun
    Cong, Lixia
    Wang, Qinmin
    Wang, Xiaoqin
    2014 THIRD INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA 2014), 2014,
  • [2] Training Samples Enriching Approach for Classification Improvement of VHR Remote Sensing Image
    Lv, Zhiyong
    Li, Guangfei
    Yan, Jixing
    Benediktsson, Jon Atli
    You, Zhenzhen
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [3] Robust Learning of Mislabeled Training Samples for Remote Sensing Image Scene Classification
    Tu, Bing
    Kuang, Wenlan
    He, Wangquan
    Zhang, Guoyun
    Peng, Yishu
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13 : 5623 - 5639
  • [4] Surface biophysical features fusion in remote sensing for improving land crop/cover classification accuracy
    Fathololoumi, Solmaz
    Firozjaei, Mohammad Karimi
    Li, Huijie
    Biswas, Asim
    SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 838
  • [5] A new privacy attack network for remote sensing images classification with small training samples
    Wang, Eric Ke
    Wang, Fan
    Sun, Ruipei
    Liu, Xi
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2019, 16 (05) : 4456 - 4476
  • [6] A Method for Classification Training Samples Spatial-Time Expanding of Remote Sensing Image
    Ren Guangbo
    Zhang Jie
    Ma Yi
    Zheng Rong-er
    INTERNATIONAL CONFERENCE ON SPACE INFORMATION TECHNOLOGY 2009, 2010, 7651
  • [7] Self-Training with Spatially Confident and Diverse Samples for the Classification of Remote Sensing Images
    Aydav, Prem Shankar Singh
    Kumar, Vipin
    Minz, Sonajharia
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2022, 50 (05) : 877 - 893
  • [8] Self-Training with Spatially Confident and Diverse Samples for the Classification of Remote Sensing Images
    Prem Shankar Singh Aydav
    Vipin Kumar
    Sonajharia Minz
    Journal of the Indian Society of Remote Sensing, 2022, 50 : 877 - 893
  • [9] A faster SVM classification technique for remote sensing images using reduced training samples
    Chowdhury K.
    Chaudhuri D.
    Pal A.K.
    Journal of Ambient Intelligence and Humanized Computing, 2023, 14 (12) : 16807 - 16827
  • [10] Accuracy assessment of remote sensing classification techniques
    Elghazali, S.
    Wishahy, Z.
    Ismail, M.
    2001, Cairo University (48):