Home

Advanced Data Analyses with Artificial Neural Nets

1997-2000 Rapid Identification of Planetary Resources from Spacecraft

2000-2004 "Precision Mining" of Large Spectral Data Volumes for Rapid Identification
    of Planetary Resources
 Projects funded by the Applied Information Systems Research Program  (AISRP)   of OSSA,  NASA.

  People
        Principal Investigator:  Erzsébet Merényi, Rice University, 2000 -, U Arizona, LPL, 1997-2000
        Co-Investigators: (2000-2004) Robert H. Brown (PI for Cassini VIMS), Peter H. Smith, U Arizona, LPL, William H. Farrand, Space Sci. Inst., Boulder, CO. (1997-2000) Alfred S. McEwen (PI for Clementine Systematic Data Processing), Peter H. Smith (PI for the Mars Pathfinder IMP Camera), both at UA LPL.
        Collaborators: (2000-2004) Prof. Colin Fyfe, Paisley University, Scotland, Dr. Thomas Villmann, University of Leipzig, Clinic for Phsychotherapy, Alfred S. McEwen, U of Arizona, LPL. (1997-2000) Galen Gisler, LANL, Deployable Adaptive Processing Systems
        Software development support: Philip Tracadas, 2003 - Scott Williams, 2000 - 2002, James Winburn, 1998 - 99; Dixon Liang, 1997 - 98;
        Students: Ms. Abha Jain, MS student, Rice U, fall 2002 -
Mr. Kadim Tasdemir, PhD student, Rice U, fall 2003 -
Captain Michael Mendenhall, PhD student, Rice U, spring 2004 -

Past students in various short term capacities:
Jason White (summer 2002), Hou-Ying Liou (summer 2001), Nirav Bhagat(summer 2001), Research Undergraduate Research Interns, Rice U;
Support for Rice U student interns:
Rice U Brown School of Engineering Undergraduate Research Internship Program
M. D. Anderson Cancer Center

Kapil Chhibber, NASA Space Grant intern, U Arizona, 1999/2000; Andrew Iles, NASA Space Grant intern, U Arizona, 1998/99
Gordon Lyon B.Sc. student, Thomas Lofgren, PhD student, Sanjeev Sayeereman, Sridhar Devarapalli, Praveen Chakravarthula, Prasad Boddupalli, M.Sc. students, U Arizona, CS Dept., 1997-1999.

•   Abstract of the proposal, 1996
•   Abstract of the proposal, 1999
•  AISRP '97 Workshop presentation  
•   ESANN'98 Paper: Self-Organizing Maps for Planetary Surface Composition Research (color PostScript)
•  ESANN'99 Review Talk: Introduction to Special Session on "Spectral Image  Analyses with ANNs". Download here in  short Short paper form (color PostScript)
•  AISRP '99 Workshop presentation
•  ISCI'2000 Invited Talk: "Precision Mining" of High-Dimensional Patterns with Self-Organizing Maps: Interpretation of Hyperspectral Images.  Summary paper (color) in "Quo Vadis Computational Intelligence: New Trends and Approaches in Computational Intelligence" (Studies in Fuzziness and Soft Computing, Vol 54, P. Sincak and J. Vascak Eds.), Physica Verlag, September, 2000.
•  Book chapter (color) T. Villmann and E. Merényi, Extensions and Modifications of the Kohonen-SOM and Applications in Remote Sensing Image Analysis. In "Self-Organizing Maps: Recent Advances and Applications" (U.Seiffert and L.C. Jain Eds.), Springer-Verlag, 2001, pp 121-145. :  

•  Summary of invited talk, ICICIS02(color) Merényi, T. Villmann, Self-Organizing Neural Net Approaches For Hyperspectral Images. International Conference on Intelligent Computing and Information Systems, Cairo, Egypt, June 24 - 26, 2002 :  

•   Recent  Publications

Planetary Surface Composition from Spectral (Image) Data.

       Mars, Earth, Asteroids, Moon

Classification of fused disparate data

Integrated Data Analysis of Valles Caldera, New Mexico. Project funded by and in collaboration with the Pan American Center for Earth and Environmental Studies (PACES), University of Texas at El Paso.

Soil and Vegetation Mapping in Temperate Climate Environment, from Fused Landsat TM and Geophysical Data. Project in collaboration with the Lorand Eotvos Geophysical Institute, Hungary.       

Of  Artificial Neural Nets (ANNs):     

	Software:	list of free and commercial packages
	Hardware:
	Literature:

I use ANN simulators from Neuralware, Inc.

Schematics of an ANN with a 2-D Self -Organizing hidden layer. The boxes with various graphs are instruments set up to monitor the network behavior . Screen graphics from NeuralWorks Professional II/Plus ANN simulator, by NeuralWare, Inc.

Home