Acta Photonica Sinica, Volume. 34, Issue 10, 1510(2005)

The Application of Spectral Unmixing Technology for Lunar Regolith

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    References(13)

    [1] [1] Xue Bin, Yang Jianfeng, Zhao Baochang. The application of imaging spectral technique in lunar exploration. Acta Photonica Sinica , 2005,34(Z1): 62~65

    [2] [2] Poulet F. Modelling of ineral Mixture Reflectance Spectra (abstract). 34th Annual Lunar and Planetary Science Conference, League City, Texas 2003

    [3] [3] Xue Bin, Zhao Baochang, Yang Jianfeng,el al. Modified linear mixture model applied to the hyperspectral unmixing simulation. Acta Photonica Sinica, 2004, 33(6) :689~692

    [4] [4] Du Peijun, Fang Tao,Tang Hong,etal. Spectral features extraction in hyperspectral RS data and its application to information processing. Acta Photonica Sinica , 2005,34(2):293 ~298

    [5] [5] Xue Bin, Yang Jianfeng, Zhao Baochang. The Study of Spectral Feature of Major Minerals on the Lunar Surface. Progress in Geophysics ,2004,19(3): 717~720

    [6] [6] Mustard J F, Li Lin, He Guoqi. The importance of nonlinear mixing modeling for analysis of lunar multispectral data. Lunar and Planetary Science, 1997,XXVⅢ: 995~996

    [7] [7] Cord A, Prinet P. Planetary regolith surface analogs and mesoscale topograpy: Optimized determination of hapke parameters using multi-angular spectro-imaging laboratory data. Lunar and Planetary Exploration on Solar System Remote Sensing, 2002.17~18

    [8] [8] Jones, Meirion T. A Quantitative Evaluation of the Uniformity of the Light Scattering Properties of the Lunar Surface. Earth, Moon, and Planets, 1969,1: 31~58

    [9] [9] Resmini R G, Graver W R. Constrained energy minimization applied to apparent reflectance and singlescattering albedo spectra: a comparison. SPIE, 1996,2821: 3 ~ 13

    [10] [10] Hu Y H, Lee H B, Scarpace F L. Optimal linear spectral unmixing. IEEE Transactions on Geoscience and Remote Sensing, 1999,37(1): 639~644

    [11] [11] Abatzoglou T J, Mendel J M. Constrained total least squares. IEEE International Conf on Acoustics Speech & Signal Processing, 1987: 1485~ 1488

    [12] [12] Antonio P, Pablo M. Automated identification of endmembers from hyperspectral data using mathematical morphology. Proceedings of SPIE, 2002,4541: 278 ~ 287

    [13] [13] Winter M E. Fast Autonomous Spectral End-member Determination in Hyperspectral Data. In: Proceedings of the Thirteenth International Conference on Applied Geologic Remote Sensing, 1999,2:337~344

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    [in Chinese], [in Chinese], [in Chinese]. The Application of Spectral Unmixing Technology for Lunar Regolith[J]. Acta Photonica Sinica, 2005, 34(10): 1510

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    Received: Jan. 12, 2005

    Accepted: --

    Published Online: Jun. 12, 2006

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