Acta Optica Sinica, Volume. 37, Issue 1, 128001(2017)

Decoy Spectrum Design Based on Feature Space Significance

Li Shuying*, Du Shanshan, and Zeng Zhaoyang
Author Affiliations
  • [in Chinese]
  • show less
    References(8)

    [2] [2] Hsu P H. Feature extraction of hyperspctral images using wavelet and matching pursuit[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2007, 62(2): 78-92.

    [3] [3] He Songhua, Liu Zhen, Chen Qiao. Research of spectral dimension reduction method based on matrix theory[J]. Acta Optica Sinica, 2014, 34(2): 0233001.

    [5] [5] Canham K, Schlamm A, Ziemann A. Spatially adaptive hyperspectral unmixing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(11): 4248-4262.

    [6] [6] Yin Wen, Li Yuanxiang, Zhou Zeming, et al. Remote sensing image fusion based on sparse representation[J]. Acta Optica Sinica, 2013, 33(4): 0428003.

    [9] [9] Johnson R J, Williams J P, Bauer K W. Auto GAD: An improved ICA-based hyperspectral anomaly detection algorithm[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(6): 3492-3503.

    [10] [10] Wu Yiquan, Zhou Yang, Long Yunlin. Small target detection in hyperspectral remote sensing image based on adaptive parameter SVM[J]. Acta Optica Sinica, 2015, 35(9): 0928001.

    CLP Journals

    [1] Yan Yang, Hua Wenshen, Cui Zihao, Wu Xishan, Liu Xun. Classification and Volume for Hyperspectral Endmember Extraction[J]. Laser & Optoelectronics Progress, 2018, 55(9): 93004

    Tools

    Get Citation

    Copy Citation Text

    Li Shuying, Du Shanshan, Zeng Zhaoyang. Decoy Spectrum Design Based on Feature Space Significance[J]. Acta Optica Sinica, 2017, 37(1): 128001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jul. 28, 2016

    Accepted: --

    Published Online: Jan. 13, 2017

    The Author Email: Shuying Li (imisswater@163.com)

    DOI:10.3788/aos201737.0128001

    Topics