Remote sensing image classification based on evidence theory and neural networks

被引：0
|
作者：
Chen, G [1 ]
Li, BC [1 ]
Guo, ZG [1 ]
机构：
[1] Informat Engn Univ, Zhengzhou 450002, Henan, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1 | 2004年 / 3173卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An effective method based on evidence theory and neural networks to classify the remote sensing images is brought forward in the paper. Firstly, with the spatial information in consideration, the original image is smoothed with a modified gradient inverse weighting smoothing method, then the classification of the original and smoothed images is performed separately using a BP neural network. Finally, result comes out after fusing the two classification results with D-S evidence theory. Experimental results demonstrate that the proposed method is effective and can improve the classification accuracy.
引用
收藏
页码：971 / 976
页数：6
相关论文
共 50 条
  • [21] Selective convolutional neural networks and cascade classifiers for remote sensing image classification
    Wan, Lihong
    Liu, Na
    Huo, Hong
    Fang, Tao
    REMOTE SENSING LETTERS, 2017, 8 (10) : 917 - 926
  • [22] A Pareto evolutionary artificial neural networks approach for remote sensing image classification
    Liu, Fujiang
    Wu, Xincai
    Guo, Yan
    Sun, Huashan
    Zhou, Feng
    Mei, Linlu
    GEOINFORMATICS 2006: REMOTELY SENSED DATA AND INFORMATION, 2006, 6419
  • [23] FEATURE SPARSITY IN CONVOLUTIONAL NEURAL NETWORKS FOR SCENE CLASSIFICATION OF REMOTE SENSING IMAGE
    Huang, Wei
    Wang, Qi
    Li, Xuelong
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 3017 - 3020
  • [24] Using Neural Networks to Combine Multiple Features in Remote Sensing Image Classification
    俞璐
    谢钧
    张艳艳
    JournalofDonghuaUniversity(EnglishEdition), 2015, 32 (02) : 225 - 228
  • [25] Fuzzy image classification using multiresolution neural networks with applications to remote sensing
    Avrithis, YS
    Kollias, SD
    DSP 97: 1997 13TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING PROCEEDINGS, VOLS 1 AND 2: SPECIAL SESSIONS, 1997, : 261 - 264
  • [26] Pruning Convolutional Neural Networks with an Attention Mechanism for Remote Sensing Image Classification
    Zhang, Shuo
    Wu, Gengshen
    Gu, Junhua
    Han, Jungong
    ELECTRONICS, 2020, 9 (08) : 1 - 19
  • [27] Study on Classification for Remote Sensing Image based on BP Neural Network
    Wang Chongchang
    Zhang Jianping
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 2187 - 2190
  • [28] Classification for remote sensing image by vector-based neural network
    Chen Yumin
    Wu Chenchen
    Ye Huanzhuo
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 1844 - 1847
  • [29] Hyperspectral Remote Sensing Image Classification Based on Convolutional Neural Network
    Dai, Xiangyang
    Xue, Wei
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 10373 - 10377
  • [30] Remote sensing image classification based on BP neural network model
    Zheng, YG
    Wang, P
    Ma, J
    Zhang, HB
    TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA, 2005, 15 : 232 - 235
12345