Research and Analysis of Hyperspectral Remote Sensing Image Classification Algorithms

被引：0
|
作者：
Rong, Ren [1 ]
机构：
[1] Beifang Univ Nationalities, Sch Comp Sci & Engn, Yinchuan 750021, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
hyperspectral remote sensing; classification algorithms; pixel spectral feature;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Hyperspectral remote sensing technology is applied to many fields because of its super-multiband, high resolution and vast information. Its classification technology is a research hotspot now. Abundant information is not utilized fully in traditional remote sensing image classification method; so many improved algorithms are disappeared in order to enhance efficiency, accuracy and intelligence. The hyperspectral remote sensing image processing flow is introduced. Merit, demerits and development tendency of classification method are clarified.
引用
收藏
页码：3960 / 3964
页数：5
相关论文
共 50 条
  • [1] A DBN for Hyperspectral Remote Sensing Image Classification
    Tong Guofeng
    Li Yong
    Cao Lihao
    Jin Chen
    [J]. PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017, : 1757 - 1762
  • [2] A Research on the Combination Strategies of Multiple Features for Hyperspectral Remote Sensing Image Classification
    Ma, Yuntao
    Li, Ruren
    Yang, Guang
    Sun, Lishuang
    Wang, Jingli
    [J]. JOURNAL OF SENSORS, 2018, 2018
  • [3] SPECTRAL PARTITIONING FOR HYPERSPECTRAL REMOTE SENSING IMAGE CLASSIFICATION
    Liu, Yi
    Li, Jun
    Plaza, Antonio
    Bioucas-Dias, Jose
    Cuartero, Aurora
    Garcia Rodriguez, Pablo
    [J]. 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 3434 - 3437
  • [4] Hyperspectral remote sensing image classification based on kernel fisher discriminant analysis
    Yang, Guo-Peng
    Liu, Hang-Ye
    Yu, Xu-Chu
    [J]. 2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS, 2007, : 1139 - 1143
  • [5] Hyperspectral Remote Sensing Image Classification Based on Local Reconstruction Fisher Analysis
    Liu Jiamin
    Yang Song
    Huang Hong
    [J]. CHINESE JOURNAL OF LASERS-ZHONGGUO JIGUANG, 2020, 47 (07):
  • [6] Research on Deep Learning and Adversarial Defense Methods for Hyperspectral Remote Sensing Image Classification
    XU, Yonghao
    [J]. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2022, 47 (01):
  • [7] Research on classification method of hyperspectral remote sensing image based on Generative Adversarial Network
    Zhang, Jian
    Bao, Wenxing
    [J]. National Remote Sensing Bulletin, 2022, 26 (02) : 416 - 430
  • [8] Research on classification method of hyperspectral remote sensing image under random projection framework
    Jia, Shuhan
    [J]. Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2023, 52 (10):
  • [9] Hyperspectral Image Analysis techniques on Remote Sensing
    Iyer, R. Priyanka
    Raveendran, Archanaa
    Bhuvana, S. K. Thai
    Kavitha, R.
    [J]. 2017 IEEE 3RD INTERNATIONAL CONFERENCE ON SENSING, SIGNAL PROCESSING AND SECURITY (ICSSS), 2017, : 392 - 396
  • [10] Multiple Classifier Combination for Hyperspectral Remote Sensing Image Classification
    Du, Peijun
    Zhang, Wei
    Sun, Hao
    [J]. MULTIPLE CLASSIFIER SYSTEMS, PROCEEDINGS, 2009, 5519 : 52 - 61
12345