• Acta Optica Sinica
  • Vol. 27, Issue 7, 1178 (2007)
[in Chinese]*, [in Chinese], and [in Chinese]
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  • [in Chinese]
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    [in Chinese], [in Chinese], [in Chinese]. A Small Target Detection Approach Based on Endmember Extraction in Hyperspectral Image[J]. Acta Optica Sinica, 2007, 27(7): 1178 Copy Citation Text show less
    References

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    [2] D. Manolakis. Overview of algorithms for hyperspectral target detection: theory and practice[C]. Proc. SPIE, 2002, 4725: 202~215

    [3] S. M. Schweizer, J. M. F. Moura. Efficient detection in hyperspectral imagery[J]. IEEE Trans. on Image Processing, 2001, 10(4): 584~597

    [4] S-S. Chiang, C-I. Chang, I. W. Ginsberg. Unsupervised target detection in hyperspectral images using projection pursuit[J]. IEEE Trans. on Geoscience and Remote Sensing, 2001, 39(7): 1380~1391

    [8] B. Thai, G. Healey. Invariant subpixel target identification in hyperspectral imagery[C]. Proc. SPIE, 1999, 3717: 14~24

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    [10] A. Plaza, P. Martínez, R. Pérez et al.. A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data[J]. IEEE Trans. on Geoscience and Remote Sensing, 2004, 42(3): 650~663

    [12] W. M. Baugh, F. A. Kruse, W. W. Atkinson. Quantitative geochemical mapping of ammonium minerals in the southern Cedar Mountains, Nevada, using airborne visible/infrared imaging spectrometer (AVIRIS)[J]. Remote Sens. Environ, 1998, 65(3): 292~308

    [14] C-I. Chang, S-S. Chiang. Anomaly detection and classification for hyperspectral imagery[J]. IEEE Trans. on Geoscience and Remote Sensing, 2002, 40(6): 1314~1325

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    [in Chinese], [in Chinese], [in Chinese]. A Small Target Detection Approach Based on Endmember Extraction in Hyperspectral Image[J]. Acta Optica Sinica, 2007, 27(7): 1178
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