Laser & Optoelectronics Progress, Volume. 56, Issue 2, 021702(2019)

Multi-Classification and Recognition of Hyperspectral Remote Sensing Objects Based on Convolutional Neural Network

Miao Yan1,2, Hongdong Zhao1、*, Yuhai Li2, Jie Zhang1,2, and Zetong Zhao1,2
Author Affiliations
  • 1 School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China
  • 2 Electronics Technology Group Corporation No.53 Research Institute, Key Laboratory of Electro-Optical Information Control and Security Technology, Tianjin 300308, China
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    References(20)

    [3] Cheriyadat A M. Unsupervised feature learning for aerial scene classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 52, 439-451(2014).

    [10] Yang J C, Yu K, Gong Y H et al. Linear spatial pyramid matching using sparse coding for image classification[C]. 2009 IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, 2009, Miami, FL, USA. New York: IEEE, 8, 20-25(2009).

    [19] Nogueira K. Penatti O A B, dos Santos J A. Towards better exploiting convolutional neural networks for remote sensing scene classification[J]. Pattern Recognition, 61, 539-556(2017).

    CLP Journals

    [1] Wenxiu Teng, Ni Wang, Taisheng Chen, Benlin Wang, Menglin Chen, Huihui Shi. Deep Adversarial Domain Adaptation Method for Cross-Domain Classification in High-Resolution Remote Sensing Images[J]. Laser & Optoelectronics Progress, 2019, 56(11): 112801

    [2] Wenxiu Teng, Ni Wang, Taisheng Chen, Benlin Wang, Menglin Chen, Huihui Shi. Deep Adversarial Domain Adaptation Method for Cross-Domain Classification in High-Resolution Remote Sensing Images[J]. Laser & Optoelectronics Progress, 2019, 56(11): 112801

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    Miao Yan, Hongdong Zhao, Yuhai Li, Jie Zhang, Zetong Zhao. Multi-Classification and Recognition of Hyperspectral Remote Sensing Objects Based on Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(2): 021702

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Jul. 17, 2018

    Accepted: Aug. 2, 2018

    Published Online: Aug. 1, 2019

    The Author Email: Zhao Hongdong (zhaohd@hebut.edu.cn)

    DOI:10.3788/LOP56.021702

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