• Chinese Optics Letters
  • Vol. 9, Issue 3, 031002 (2011)
Peijun Du1, Wei Zhang2, and Junshi Xia1
Author Affiliations
  • 1Key Laboratory for Land Environment and Disaster Monitoring of State Bureau of Surveying and Mapping of China, China University of Mining and Technology, Xuzhou 221116, China
  • 2Hebei Bureau of Surveying and Mapping, Shijiazhuang 050031, China
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    DOI: 10.3788/COL201109.031002 Cite this Article Set citation alerts
    Peijun Du, Wei Zhang, Junshi Xia, "Hyperspectral remote sensing image classification based on decision level fusion," Chin. Opt. Lett. 9, 031002 (2011) Copy Citation Text show less
    References

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    [6] Q. Sun, X. Ye, and W. Gu, Acta Electron. Sin. (in Chinese) 28, (8) 117 (2000).

    [7] S. Zhao, P. Li, and X. Feng, Journal of Zhengzhou Institute of Surveying and Mapping (in Chinese) 24, 247 (2007).

    [8] J. A. Benediktsson, J. R. Sveinsson, and P. H. Swain, IEEE Trans. Geosci. Remote Sensing 35, 833 (1997).

    CLP Journals

    [1] Yueming Wang, Feng Xie, Jianyu Wang, "Short-wave infrared signature and detection of aicraft in flight based on space-borne hyperspectral imagery," Chin. Opt. Lett. 14, 122801 (2016)

    Data from CrossRef

    [1] Junshi Xia, Jocelyn Chanussot, Peijun Du, Xiyan He. Fusion in Computer Vision, 135(2014).

    [2] Junshi Xia, Jocelyn Chanussot, Peijun Du, Xiyan He. Spectral–Spatial Classification for Hyperspectral Data Using Rotation Forests With Local Feature Extraction and Markov Random Fields. IEEE Transactions on Geoscience and Remote Sensing, 53, 2532(2015).

    [3] Semih Din?, Ramazan Savas Aygün. Machine Learning and Data Mining in Pattern Recognition, 7988, 234(2013).

    [4] Chunyang Wang, Zhifang Xu, Shuangting Wang, Hebing Zhang, Zhichao Chen. Research on Semi-Supervised Learning for Hyperspectral Remote Sensing Imaging Classification Base on Confidence Entropy. 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), 1225(2016).