References
Acito, N., M. Diani and G. Corsini (2009), “ A new algorithm for robust estimation of the signal subspace in hyperspectral images in presence of rare signal components,” IEEE Trans. Geosci. Rem. Sens., vol. 47, no. 11, pp. 3844–3856, Nov.
Acito, N., M. Diani and G. Corsini (2010), “ Hyperspectral signal subspace identification in the presence of rare signal components,” IEEE Trans. Geosci. Rem. Sens., vol. 48, no. 4, pp. 1940–1954, Apr.
Adams, J.B. and M.O. Smith (1986), “ Spectral mixture modeling: a new analysis of rock and soil types at the Viking Lander 1 suite,” J. Geophys. Res., vol. 91, no. B8, pp. 8098–8112, Jul.
Adams, J.B., M.O. Smith and A.R. Gillespie (1989), “ Simple models for complex natural surfaces: a strategy for hyperspectral era of remote sensing,” Proc. IEEE Int. Geoscience and Remote Sensing Symposium'89, pp. 16–21.
Adams, J.B., M.O. Smith and A.R. Gillespie (1993), “Image spectroscopy: interpretation based on spectral mixture analysis,” Remote Geochemical Analysis: Elemental and Mineralogical Composition, edited by C.M. Pieters and P. A. Englert, Cambridge University Press, Cambridge, pp. 145–166.
Ahmed, M.N., S.M. Yamany, N. Moharmed, A.A. Farag and T. Moriarty (2002), “ A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data,” IEEE Trans. Med. Imag., vol. 21, no. 3, pp. 193–199, March.
Aho, A.V., J.E. Hoptcraft and J.D. Ullman (1974), Design and Analysis of Computer Algorithms, Addison.
Akaike, H. (1974), “ ...