Umberto,
My colleague, Ron Shreve, has worked and published extensively on problems
of the kind that you are interested in. His web-site is:
<http://www.ess.ucla.edu/facpages/shreve.html>
and he is available through:
<[log in to unmask]>
Good luck!
John Rosenfeld
>Hi all,
>
>and sincere apologies for cross postings!
>
>I am in the process of starting a phd project on analytical restoration of
>paleosurfaces displaced in neotectonics basins in south-central Apennines,
>Italy.
>
>One of the key issues at the base of the project is to try and
>model in 3- (or 3.5-) D the landforms detected from digital topography,
>i.e. to write a system that can discriminate landforms on the DEM,
>clusterize them (on the ground of given slope/gradient parameters) and
>analytically 'shape-fit' the landform (such as a badland, for instance).
>The idea would be to render classes of landforms under an analytical form
>which can then be digested by an algorithm to process a DEM, and to cluster
>classes of landforms detected on the ground of their shape _and_ of their
>analytical description.
>
>I don't exactly know whether/how this would be possibly done, or how has
>this been (successfully?) attempted before. Curve fitting may work +/- well
>for voice waveforms, and shape fitting may work well for close-range
>photogrammetry (a building's deformed wall), but what about naturally
>complex, chaotic, fuzzy (?) landforms, that bear a deformational and
>erosional history..?
>I am thinking about neural networks (for pattern discrimination) and
>perhaps finite elements.. to discriminate gradients on the DEM. But I am
>very unsure on how to analytically reproduce a landform (provided this is
>feasible..) - perhaps with mathematical morphology..? A simple form like an
>eroded crater may perhaps be approximated with a spherical integral using a
>gauss-like function.. but what about a faulted terrane of which you only
>have a few remnants?
>
>Any views, criticisms, suggestions of papers are all most welcome..
>
>Many thanks in advance,
>
>
>Umberto Fracassi, PhD student
>
>===================================================================
>Dip.to di Scienze della Terra Ph.: +39-055-2757522 (office)
>Università di Firenze +39-347-6780469 (mobile)
>Via G. la Pira, 4 Fax: +39-055-218628
>50121 Firenze
>Italy Email: [log in to unmask]
>
> http://ewse.ceo.org/anonymous/construct/build.pl/665027
>===================================================================
John L. Rosenfeld
Department of Earth and Space Sciences
University of California
Los Angeles, California 90095-1567
Phone: (310) 825-1505 (4 rings>msg)
FAX: (310) 825-2779
E-mail: <[log in to unmask]>
WWW:<http://www.ess.ucla.edu/facpages/rosenfel.html>
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