Extraction of Topological Information from Digital Images,

Abstract

Geographic information is commonly derived from remote sensor imagery. The images are digitized and segmented in categories of interest, such as terrain or land use types. The regions resulting from this segmentation process can then be individually labelled, using connected component analysis or refinements of it. Polygonal boundary chains can be constructed for each of these regions, and the topological relationships among the regions can also be extracted.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1977
Accession Number
ADA042125

Entities

People

  • Azriel Rosenfeld

Organizations

  • University of Maryland

Tags

Communities of Interest

  • C4I
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Change Detection
  • Computer Science
  • Computer Vision
  • Computers
  • Detection
  • Detectors
  • Digital Images
  • Extraction
  • Image Processing
  • Image Segmentation
  • Images
  • Information Systems
  • Maryland
  • Remote Detectors
  • United States

Readers

  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Neural Network Machine Learning.