References

1. Murari Srinivasan and Ruth DeFries , "Iterative Least Squares Approach to the Mixture Modeling Problem" in IEEE International Conference on Acoustics, Speech and Signal Processing, Detroit, Michigan, May 1995

2. J.J Settle and N.A Drake, "Linear mixing and the estimat ion of ground cover proportions," in Int.J.of Remote Sensing, vol.14 , pp.1159-1177, 1993.

3. Y.E Shimabukuro and J.A Smith, "The least squares mixing models to generate fraction images from remote sensing multispectral D ata," in IEEE Trans.on Geoscience and Remote Sensing, vol.29, p p.16-20, Jan.1991.
4. H.M Horwitz, R.F Nalepka, P.D Hyde and J.P Morgenstern, "Estimating the proportions of objects within a single resolution element of a multispectral scanner," in Proc.7th. Int.symp.Remote Sensing of the E nvironment (Ann Arbor, MI), pp. 1307-1320, 1971.

5. R.P Pech, R.D Graetz and A.W Davis, "Reflectance modelin g and the derivation of vegetation indices for an Australian semi-arid shrubland," in Int.J.of Remote Sensing, vol.7,pp.389-403, 1986.

6. Alan Sussman, Gagan Agrawal and Joel Saltz, "A Manual for the Multiblock PARTI Runtime Primitives, Revision 4.1", Technical Report, University of Maryland at College Park, Department of Computer Science and UMIACS, CS-TR-3070.1 and UMIACS-TR-93-36.1.