Constrained Regularization of Digital Terrain Elevation Data

Abstract

A framework for geometric regularization of elevation maps is introduced in this paper. The framework takes into account errors in the data, which form part of standard elevation maps specifications, as well as possible additional user/application dependent constraints. The algorithm is based on adapting the theory of geometric active surfaces to the problem of regularizing elevation maps. We present the underlying concepts and numerical experiments showing the effectiveness and potential of this theory.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA524879

Entities

People

  • Alberto Bartesaghi
  • Anish Mohan
  • Guillermo Sapiro

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Data Sets
  • Differential Equations
  • Elevation
  • Equations
  • Errors
  • Geometry
  • Geospatial Intelligence
  • Image Segmentation
  • Mathematics
  • Partial Differential Equations
  • Specifications
  • Standards
  • Terrain
  • Three Dimensional
  • Two Dimensional
  • Uncertainty

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Geodesy