Liggins, M.E., Hall, D.L., and Llinas, J. 2009. Handbook of Multisensor Data Fusion: Theory and Practice. 2ed. The Electrical Engineering and Applied Signal Processing Series. Boca Raton, FL: CRC Press.

Mingmin, C., and Bruzzone, L. 2007. Semisupervised classification of hyperspectral images by SVMs optimized in the primal. IEEE Transactions On Geoscience and Remote Sensing. 45(6):1870-1880.

Muñoz, A., and Gonzalez, J. 2008. Functional learning of kernels for information fusion purposes. Lecture Notes in Computer Science, Volume 5197, Progress in Pattern Recognition, Image Analysis and Applications, Springer Berlin, Heidelberg.

NRC (National Research Council). 1985. Geodesy: A Look to the Future. Washington, D.C.: National Academy Press.

NRC. 2006. Priorities for GEOINT Research at the National Geospatial-Intelligence Agency, The National Academies Press, Washington, D.C., 102 pp.

Plag, H.-P., and Pearlman, M. (eds). 2009. Global Geodetic Observing Systems: Meeting the Requirements of a Global Society on a Changing Planet in 2020. Dordrecht, The Netherlands: Springer.

Pultar, E., Cova, T.J., Yuan, M., and Goodchild, M.F. 2010. EDGIS: A dynamic GIS based on space time points. International Journal of Geographic Information Science. 24(3):329-346.

Prietula, M.J., Carley, K.M., and Gasser, L. (eds). 1998. Simulating Organizations: Computational Models of Institutions and Groups, Menlo Park, CA: AAAI Press / The MIT Press.

Roweis, S.T., and Saul, L.K. 2000. Nonlinear dimensionality reduction by locally linear embedding. Science. 290(5500):2323-2326.

Sanso, F. 2003. A window on the future of geodesy. International Association of Geodesy Symposia, Volume 128. Sapporo, Japan, June 30-July 11, 2003.

Schölkopf, B. 1998. SVMs - A practical consequence of learning theory. IEEE Intelligent Systems. 13(4):18-21.

Sieber, R. 2006. Public participation and geographic information systems: A literature review and framework. Annals of the American Association of Geographers. 96(3):491-507.

Telea, A. 2009. Introduction to the special issue of selected papers from SOFTVIS'2008. Information Visualization. 8(2):85-86.

Tenenbaum, J.B., deSilva, V., and Langford, J.C. 2000. A global geometric framework for nonlinear dimensionality reduction. Science. 290(5500):2319-2323.

Thomas, J.J., and Cook, K.A. (eds). 2005. Illuminating the Path: The Research and Development Agenda for Visual Analytics. Los Alamitos, Calif.: Wiley IEEE Computer Society Press.

Tulluch, D., 2008. Public Participation GIS (PPGIS), in K. Kemp (ed) Encyclopedia of GIS. Sage Publications, pp. 351-353.

van den Hout, A, and Alberink, I. 2010. A hierarchical model for body height estimation in images. Forensic Science International. 197(1-3):48-53.

Wanninger, L. 2008. Innovation: The future is now. Insights with Richard Langley. GPS World. 19(7):42-48.

Whitten, C.A. 1963. Future of Geodesy. Bulletin Géodésique of the International Association of Geodesy. 70, 1 Dec 1963.

Xiong, Z., and Zhang, Y. 2010. A critical review of image registration methods. International Journal of Image and Data Fusion. 1(2):137-158.

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