Classification method of CO2 hyperspectral remote sensing data based on neural network

被引：11
|
作者：
Zhang, Le [1 ,2 ]
Wang, Jinsong [2 ]
An, Zhiyong [2 ]
机构：
[1] Shenyang Ligong Univ, Equipment Engn Dept, Shenyang 100168, Peoples R China
[2] Changchun Univ Sci & Technol, Optoelect Engn Dept, Changchun 130022, Jilin, Peoples R China
来源：
COMPUTER COMMUNICATIONS | 2020年 / 156卷
关键词：
Hyperspectral; Remote sensing image; Neural network; Carbon dioxide; Support vector machine;
D O I：
10.1016/j.comcom.2020.03.045
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on the dimension reduction of hyperspectral remote sensing image, a new neural network method is used to classify the hyperspectral remote sensing image of carbon dioxide in detail. Firstly, the Kernel Principal Component Analysis (KPCA) and Genetic Algorithms (GA) are used to reduce the dimension of hyperspectral remote sensing images; secondly, the traditional remote sensing image classification methods (ISODATA, SVM), traditional neural networks (BP), and new neural networks are used to classify the hyperspectral remote sensing images. Finally, noise assessment method based on local mean and local standard deviation (LMLSD) of spectral image is used to evaluate the classification accuracy. In addition, hyperspectral remote sensing images are dimensionality reduction. Secondly, the comparison between the traditional remote sensing image classification method and the new neural network method is analyzed. Finally, a new neural network method is applied to classify hyperspectral remote sensing images.
引用
收藏
页码：124 / 130
页数：7
相关论文
共 50 条
  • [1] Classification method of CO2 hyperspectral remote sensing data based on neural network
    Zhang, Le
    Wang, Jinsong
    An, Zhiyong
    Computer Communications, 2021, 156 : 124 - 130
  • [2] Hyperspectral Remote Sensing Image Classification Based on Convolutional Neural Network
    Dai, Xiangyang
    Xue, Wei
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 10373 - 10377
  • [3] Hyperspectral remote sensing image classification based on radical basis function neural network
    Tan Kun
    Du Pei-jun
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28 (09) : 2009 - 2013
  • [4] Multisource Remote Sensing Data Classification Based on Convolutional Neural Network
    Xu, Xiaodong
    Li, Wei
    Ran, Qiong
    Du, Qian
    Gao, Lianru
    Zhang, Bing
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (02): : 937 - 949
  • [5] Neural network classification of remote-sensing data
    1600, Pergamon Press Inc, Tarrytown, NY, USA (21):
  • [6] Research on classification method of hyperspectral remote sensing image based on Generative Adversarial Network
    Zhang, Jian
    Bao, Wenxing
    National Remote Sensing Bulletin, 2022, 26 (02) : 416 - 430
  • [7] Hyperspectral Remote Sensing Image Classification Based on Maximum Overlap Pooling Convolutional Neural Network
    Li, Chenming
    Yang, Simon X.
    Yang, Yao
    Gao, Hongmin
    Zhao, Jia
    Qu, Xiaoyu
    Wang, Yongchang
    Yao, Dan
    Gao, Jianbing
    SENSORS, 2018, 18 (10)
  • [8] Lagrange constrained neural network-based approach to hyperspectral remote sensing image classification
    Du, Q
    Szu, H
    Buss, J
    PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2, 2003, : 270 - 274
  • [9] Multi-Classification and Recognition of Hyperspectral Remote Sensing Objects Based on Convolutional Neural Network
    Yan Miao
    Zhao Hongdong
    Li Yuhai
    Zhang Jie
    Zhao Zetong
    LASER & OPTOELECTRONICS PROGRESS, 2019, 56 (02)
  • [10] A NOVEL GRAPH BASED LABEL PROPAGATION METHOD FOR HYPERSPECTRAL REMOTE SENSING DATA CLASSIFICATION
    Wang, Xiaopan
    Hu, Yan
    Zhang, Shaojia
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 2579 - 2582
12345