Fair polyline networks for constrained smoothing of digital terrain elevation data

Michael Hofer, Guillermo Sapiro, Johannes Wallner

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

In this paper, a framework for smoothing gridlike digital terrain elevation data, which achieves a fair shape bymeans of minimizing an energy functional, is presented. The minimization is performed under the side condition of hard constraints, which comes from available horizontal and vertical accuracy bounds in the standard elevation specification. In this paper, the framework is introduced, and the suitability of this method for the tasks of accuracy-constrained smoothing, feature-preserving smoothing, and filling of data voids is demonstrated.

Original languageEnglish (US)
Pages (from-to)2983-2990
Number of pages8
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume44
Issue number10
DOIs
StatePublished - 2006
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • General Earth and Planetary Sciences

Keywords

  • Digital terrain elevation data (DTED)
  • Fair polyline networks
  • Guaranteed error bounds
  • Surface smoothing
  • Terrain compression
  • Terrain visualization
  • Topography preserving

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