Morse-Smale decompositions for modeling terrain knowledge

  • Authors:
  • Lidija Čomić;Leila De Floriani;Laura Papaleo

  • Affiliations:
  • Department of Information and Computer Sciences (DISI), University of Genova;Department of Information and Computer Sciences (DISI), University of Genova;Department of Information and Computer Sciences (DISI), University of Genova

  • Venue:
  • COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we describe, analyze and compare techniques for extracting spatial knowledge from a terrain model. Specifically, we investigate techniques for extracting a morphological representation from a terrain model based on an approximation of a Morse-Smale complex. A Morse-Smale complex defines a decomposition of a topographic surface into regions with vertices at the critical points and bounded by integral lines which connect passes to pits and peaks. This provides a terrain representation which encompasses the knowledge on the salient characteristics of the terrain. We classify the various techniques for computing a Morse-Smale complexe based on the underlying terrain model, a Regular Square Grid (RSG) or a Triangulated Irregular Network (TIN), and based on the algorithmic approach they apply. Finally, we discuss hierarchical terrain representations based on a Morse-Smale decomposition.