Detecting Topographical Regions in Digital Terrain Maps

Abstract

This report describes an application of Clustering and Differential Geometry to the characterization of digital terrain maps by different surface types and critical regions. Of particular interest is the determination of specific terrain types, where they occur, and describing them in ways which are invariant to viewing position. The development of robust and efficient segmentation and associated region characterization procedures is reported. Good results have been obtained for characterizing digital terrain maps. This work supports the development of techniques for generating optimal flight paths.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1993
Accession Number
ADA272889

Entities

People

  • Sabrina Sestito
  • Simon Goss
  • Terry Caelli

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata Theory
  • Computations
  • Computer Science
  • Computer Vision
  • Curvature
  • Differential Geometry
  • Engineering
  • Feature Extraction
  • Geometry
  • Grids
  • Image Processing
  • Images
  • Maps
  • Object Recognition
  • Pattern Recognition
  • Recognition

Readers

  • Computer Vision.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers