Laser & Optoelectronics Progress, Volume. 56, Issue 21, 212802(2019)

Hyperspectral Image Classification Based on Clustering Dimensionality Reduction and Visual Attention Mechanism

Chaoping Zeng1, Lijun Ju1, and Jianchen Zhang2、*
Author Affiliations
  • 1Department of Space Information Engineering, Henan College of Surveying and Mapping, Zhengzhou, Henan 450015, China
  • 2College of Environment and Planning, Henan University, Kaifeng, Henan 475004, China
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    References(21)

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    [8] Benediktsson J A, Palmason J A, Sveinsson J R. Classification of hyperspectral data from urban areas based on extended morphological profiles[J]. IEEE Transactions on Geoscience and Remote Sensing, 43, 480-491(2005).

    [15] Cheng M M. Saliency and similarity detection for image scene analysis[D]. Beijing: Tsinghua University(2012).

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    [20] Shen X H, Wu Y. A unified approach to salient object detection via low rank matrix recovery. [C]∥2012 IEEE Conference on Computer Vision and Pattern Recognition, June 16-21, 2012, Providence, RI, USA. New York: IEEE, 853-860(2012).

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    Chaoping Zeng, Lijun Ju, Jianchen Zhang. Hyperspectral Image Classification Based on Clustering Dimensionality Reduction and Visual Attention Mechanism[J]. Laser & Optoelectronics Progress, 2019, 56(21): 212802

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jun. 19, 2019

    Accepted: Aug. 5, 2019

    Published Online: Nov. 2, 2019

    The Author Email: Jianchen Zhang (jczhang@vip.henu.edu.cn)

    DOI:10.3788/LOP56.212802

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