Share Email Print
cover

Proceedings Paper

Landform classification using terrain primitive signatures
Author(s): Mark B. Lazaroff; Nancy J. DeFeo
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A pattern recognition technique for terrain analysis is described which uses image processing and statistical inference techniques to classify landforms from an input Digital Elevation Model (DEM) and a database of previously stored patterns. The methodology involves the development of landform signatures from topographic primitives calculated from training areas in the DEM. Local statistical properties of characteristic distributions of primitives are calculated from spatial cooccurrence matrices. Unknown terrain in DEMS can then be classified using an associative memory technique. The method is easily scaled in terms of the number of patterns that can be stored in the database as well as the amount of generalization performed by the associative memory.

Paper Details

Date Published: 1 November 1990
PDF: 8 pages
Proc. SPIE 1301, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences, (1 November 1990); doi: 10.1117/12.21412
Show Author Affiliations
Mark B. Lazaroff, Analytic Sciences Corp. (United States)
Nancy J. DeFeo, Analytic Sciences Corp. (United States)


Published in SPIE Proceedings Vol. 1301:
Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences
Paul Janota, Editor(s)

© SPIE. Terms of Use
Back to Top