• Journal of Infrared and Millimeter Waves
  • Vol. 23, Issue 6, 441 (2004)
[in Chinese]1, [in Chinese]1, [in Chinese]1, [in Chinese]1, [in Chinese]2, [in Chinese]2, and [in Chinese]2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: Cite this Article
    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. OBJECT DETECTION BASED ON FEATURE EXTRACTION FROM HYPERSPECTRAL IMAGERY AND CONVEX CONE PROJECTION TRANSFORM[J]. Journal of Infrared and Millimeter Waves, 2004, 23(6): 441 Copy Citation Text show less
    References

    [3] Xiuping Jia. Classification techniques for hyperspectal remote sensing image data[D]. PhD thesis of University of New South Wales, 1996: 17-24.

    [4] Ifarraguerri, Chang C I. Multispectral and hyperspectral image analysis with convex cones analysis[J]. IEEE Trans.on Geoscience and Remote Sensing, 1999, 37(2): 756-770.

    [5] Jimenez, Landgrebe. Hyperspectral data analysis and supervised feature reduction via projection pursuit[J]. IEEE Trans. on Geoscience and Remote Sensing, 1999, 37(6): 2653-2667.

    [6] Ifarraguerri,Chang C I. Multispectral and hyperspectral image analysis with projection pursuit[J]. IEEE Trans.on Geoscience and Remote Sensing, 2000, 38(6): 2529-2538.

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

    [8] Boardman J W, Kruse F A, Green R O. Mapping target signatures via partial unmixing of AVIRIS data: in Summaries, Fifth JPL Airborne Earth Science Workshop, JPL Publication[C]. 95-1,1: 23-26.

    [10] Winter Michael E. N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data[J]. Proc of SPIE, Imaging Spectrometry V, 1999, 3753: 266-277.

    CLP Journals

    [1] ZHAO Chun-hui, LI Xiao-hui, TIAN Ming-hua. Hyperspectral Imaging Abnormal Target Detection Algorithm Using Principal Component Quantization and Density Estimation on EM Clustering[J]. Acta Photonica Sinica, 2013, 42(10): 1224

    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. OBJECT DETECTION BASED ON FEATURE EXTRACTION FROM HYPERSPECTRAL IMAGERY AND CONVEX CONE PROJECTION TRANSFORM[J]. Journal of Infrared and Millimeter Waves, 2004, 23(6): 441
    Download Citation