• Electronics Optics & Control
  • Vol. 29, Issue 2, 16 (2022)
BAI Yu1, LIU Lina1, ZHANG Ning2, LIN Chen2, SONG Wei2, and ZHU Xinzhong2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3969/j.issn.1671-637x.2022.02.004 Cite this Article
    BAI Yu, LIU Lina, ZHANG Ning, LIN Chen, SONG Wei, ZHU Xinzhong. Hyperspectral Image Anomaly Detection Based on Improved RX Incremental Learning[J]. Electronics Optics & Control, 2022, 29(2): 16 Copy Citation Text show less
    References

    [1] GUELMAN M, ORTENBERG F.Small satellites role in future hyperspectral Earth observation missions[J].Acta Astronautica, 2009, 64(11/12): 1252-1263.

    [5] BLACKBURN G A.Hyperspectral remote sensing of plant pigments[J].Journal of Experimental Botany, 2007, 58(4): 855-867.

    [7] BRIOTTET X, BOUCHER Y, DIMMELER A, et al.Military applications of hyperspectral imagery[C]//Proceedings of SPIE.Orlando, Florida: SPIE, 2006.doi: 10.1117/12.672030.

    [8] DONG Y C, CHEN F S, WANG Y, et al.A limb atmospheric radiance inversion method based on a sun-synchronous orbit satellite[C]//Proceedings of SPIE.[S.l.]: SPIE, 2015.doi: 10.1117/12.2180861.

    [9] SCHARF L L, FRIEDLANDER B.Matched subspace detectors[J].IEEE Transactions on Signal Processing, 1994, 42(8): 2146-2157.

    [10] HARSANYI J C, CHANG C I.Hyperspectral image clas-sification and dimensionality reduction: an orthogonal subspace projection approach[J].IEEE Transactions on Geoscience and Remote Sensing, 1994, 32(4): 779-785.

    [12] XIE W Y, LIU B Z, LI Y S, et al.Autoencoder and adversarial-learning-based semisupervised background estimation for hyperspectral anomaly detection[J].IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(8): 5416-5427.

    [13] STEIN D, BEAVEN S G, HOFF L E, et al.Anomaly detection from hyperspectral imagery[J].IEEE Signal Processing Magazine, 2002, 19(1): 58-69.

    [15] REED I S, YU X.Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution[J].IEEE Transactions on Acoustics, Speech, and Signal Processing, 1990, 38(10): 1760-1770.

    [16] ZHANG N, XIE S B, LUO H L, et al.Airport aircraft target detection based on space spectrum feature fusion[C]//The 5th International Conference on Computer and Communication Systems (ICCCS).Shanghai: IEEE, 2020: 967-971.

    BAI Yu, LIU Lina, ZHANG Ning, LIN Chen, SONG Wei, ZHU Xinzhong. Hyperspectral Image Anomaly Detection Based on Improved RX Incremental Learning[J]. Electronics Optics & Control, 2022, 29(2): 16
    Download Citation