Fair Polyline Networks for Constrained Smoothing of Digital Terrain Elevation Data

Abstract

We present a framework for smoothing grid-like digital terrain elevation data, which achieves fair shape by means of minimizing an energy functional. The minimization is performed under the side-condition of hard constraints which come from available horizontal and vertical accuracy bounds in the elevation specification. We introduce the framework and demonstrate the suitability of this method for the tasks of accuracy-constrained smoothing, feature-preserving smoothing and filling of data voids.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2005
Accession Number
ADA517675

Entities

People

  • Guillermo Sapiro
  • Johannes Wallner
  • Michael Hofer

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Data Acquisition
  • Data Sets
  • Earth Sciences
  • Elevation
  • Errors
  • Geometry
  • Geospatial Intelligence
  • Mathematics
  • Numbers
  • Optimization
  • Real Numbers
  • Remote Sensing
  • Specifications
  • Standards
  • Terrain

Readers

  • Approximation Theory.
  • Radar Systems Engineering.
  • Systems Analysis and Design