Citation: | Xu Zhou, Zhao Huijie. Advanced spectral unmixing algorithm based on spectral information divergence[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(9): 1091-1094. (in Chinese) |
[1] 赵慧洁,李娜,贾国瑞,等.改进独立成分分析在高光谱图像分类中的应用[J].北京航空航天大学学报,2006,32(11): 1333-1336 Zhao Huijie, Li Na, Jia Guorui, et al. Improved independent component analysis applied to classification hyperspectral imagery [J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(11): 1333-1336(in Chinese) [2] Rogge D M, Rivard B, Zhang J K, et al. Iterative spectral unmixing for optimizing per-pixel endmember sets [J]. IEEE Transaction Geoscience Remote Sensing, 2006, 44(12):3725-3736 [3] Boardman J W. Automating spectral unmixing of AVIRIS data using convex geometry concepts In Proceeding of Summary 4th Annual JPL Airborne Geoscience Workshop. :JPL Publication 93-26, 1993,1:11-14 [4] Bateson A,Curtiss B. A method for manual endmember selection and spectral unmixing [J].Remote Sensing Environment, 1996, 55(3):229-243 [5] Winter M E. Fast autonomous spectral endmember determination in hyperspectral data //In Proceeding of 13th International Conference of Application of Geologic Remote Sensing. Vancouver, BC, Canada: , 1999, Ⅱ: 337-344 [6] Nascimento J M P, Dias J M B. Vertex component analysis: a fast algorithm to unmix hyperspectral data [J]. IEEE Transaction Geoscience Remote Sensing, 2005, 43(4):898-910 [7] Chang C I. An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis [J].IEEE Transactions on Information Theory, 2000, 45(5):1927-1932 [8] Ramsey M S,Christensen P R. Mineral abundance determination:quantitative deconvolution of thermal emission spectra[J].Journal of Geophysics Research,1998,103(B1):577-596 [9] Heinz D C, Chang C I. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery [J]. IEEE Transaction Geoscience Remote Sensing, 2001, 39(3):529-545 [10] Staenz K, Szeredi T, Schwarz J. ISDAS-A system for processing/analyzing hyperspectral data [J]. Technical note, Canadian Journal of Remote Sensing, 1998, 24(2):99-113 [11] Ruff S W, Christensen P R, Blaney D L, et al. The rocks of Gusev Crater as viewed by the Mini-TES instrument [J]. Journal of Geophysics Research, 2006, 111(E12), doi: 10.1029/2006JE002747
|