Toward Automatic Extraction of Cartographic Features.

Abstract

The problem of automatically extracting map symbology from source imagery is studied. It is concluded that a great deal of geographic knowledge used by humans, who currently perform this extraction function, must be made available to machines before the function can be automated. Several geographic knowledge sources are discussed and an attempt is made to define paradigms under which knowledge can be encoded and used in the computer. An automatic cartographic feature extraction system (ACES) is sketched which represents a best framework for continuing development on this difficult problem given current achievements. A systems approach is taken with first consideration given to desired outputs and available inputs. It is concluded that input/output technology is far in advance of technology available for interpretation of the data. Emphasis is placed on the use of knowledge by ACES during automatic interpretation of imagery. Many types of knowledge typically used by humans appear difficult to engineer into automatic processes. Use of positional knowledge encoded in a geographic data base (GDB) is selected as the most promising avenue. Proposals are given for future research work in that direction. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1978
Accession Number
ADA059942

Entities

People

  • George Stockman

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Aerial Photography
  • Artificial Intelligence
  • Cameras
  • Change Detection
  • Computer Graphics
  • Computer Programs
  • Computer Vision
  • Data Processing
  • Detection
  • Detectors
  • Feature Extraction
  • Geography
  • Image Processing
  • Pattern Recognition
  • Photographs
  • Photography
  • Urban Areas

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Geodesy
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Information Retrieval