Multi-source remote sensing image fusion based on support vector machine

被引:0
|
作者
Shu-he Zhao
Feng Xue-zhi
Guo-ding Kang
Elnazir Ramadan
机构
[1] Nanjing University,Department of Urban & Resources Sciences
来源
关键词
image fusion; SVM; multi-spectral image; panchromatic image; P237;
D O I
暂无
中图分类号
学科分类号
摘要
Remote Sensing image fusion is an effective way to use the large volume of data from multi-source images. This paper introduces a new method of remote sensing image fusion based on support vector machine (SVM), using high spatial resolution data SPIN-2 and multi-spectral remote sensing data SPOT-4. Firstly, the new method is established by building a model of remote sensing image fusion based on SVM. Then by using SPIN-2 data and SPOT-4 data, image classification fusion is tested. Finally, an evaluation of the fusion result is made in two ways. 1) From subjectivity assessment, the spatial resolution of the fused image is improved compared to the SPOT-4. And it is clearly that the texture of the fused image is distinctive. 2) From quantitative analysis, the effect of classification fusion is better. As a whole, the result shows that the accuracy of image fusion based on SVM is high and the SVM algorithm can be recommended for application in remote sensing image fusion processes.
引用
收藏
页码:244 / 248
页数:4
相关论文
共 50 条
  • [1] MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE
    ZHAO Shu-he
    [J]. Chinese Geographical Science, 2002, (03) : 53 - 57
  • [2] MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE
    Zhao Shu-he
    Feng Xue-zhi
    Kang Gao-ding
    Ramadan, Elnazir
    [J]. CHINESE GEOGRAPHICAL SCIENCE, 2002, 12 (03) : 244 - 248
  • [3] A new method for multi-source remote sensing image fusion
    Zhang, SY
    Wang, PQ
    Chen, XY
    Zhang, X
    [J]. IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 3948 - 3951
  • [4] Multi-Source Remote Sensing Image Fusion Method Based on Sparse representation
    Yu, Xianchuan
    Gao, Guanyin
    [J]. INTERNATIONAL SYMPOSIUM ON OPTOELECTRONIC TECHNOLOGY AND APPLICATION 2014: IMAGE PROCESSING AND PATTERN RECOGNITION, 2014, 9301
  • [5] An Algorithm Based on PCGP Image Fusion for Multi-Source Remote Sensing Images
    Ji, Zhenyuan
    Xu, Li
    Wang, Haotian
    Zhang, Yun
    [J]. 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 2860 - 2863
  • [6] Multi-source remote sensing image fusion based on nonsubsampled contourlet transform
    Li, Xiujuan
    Li, Shutao
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3, 2008, : 830 - +
  • [7] Multi-Source High Resolution Remote Sensing Image Fusion based on Intelligent Decision
    Zhang, Wanfeng
    Li, Shengyang
    Hao, Zhongweng
    Yang, Song
    [J]. PROCEEDINGS OF 2016 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), 2016, : 370 - 375
  • [8] Multi-source Remote Sensing Image Registration Based on Contourlet Transform and Multiple Feature Fusion
    Huan Liu
    Gen-Fu Xiao
    Yun-Lan Tan
    Chun-Juan Ouyang
    [J]. International Journal of Automation and Computing, 2019, 16 : 575 - 588
  • [9] Multi-source Remote Sensing Image Registration Based on Contourlet Transform and Multiple Feature Fusion
    Liu, Huan
    Xiao, Gen-Fu
    Tan, Yun-Lan
    Ouyang, Chun-Juan
    [J]. INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING, 2019, 16 (05) : 575 - 588
  • [10] Multi-source Remote Sensing Image Registration Based on Contourlet Transform and Multiple Feature Fusion
    Huan Liu
    Gen-Fu Xiao
    Yun-Lan Tan
    Chun-Juan Ouyang
    [J]. Machine Intelligence Research, 2019, 16 (05) : 575 - 588