Interactive Image Analysis System Design,

Abstract

This report describes a design for an interactive image analysis system (IIAS), which implements terrain data extraction techniques. The design employs commercially available, state of the art minicomputers and image display devices with proven software to achieve a cost effective, reliable image analysis system. Additionally, the system is fully capable of supporting many generic types of image analysis and data processing, and is modularly expandable to accommodate future processing requirements. The primary requirements for the IIAS were derived from the terrain data extraction process. This process accepts digitized aerial photography, mosaics several aerial photographs into one map size image, registers the image to a standard map, and classifies terrain characteristics such as forest canopy coverage, average number of stems per hectare, and average stem diameter. The output of the process is a set of polygons that define classified regions on the map. The polygons are output on computer compatible tapes (CCTs) in a format that is compatible with ETL's Terrain Analysis Synthesis System (TASS). In addition to the terrain data extraction requirements, flexibility and expansion potential were key design criteria.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1982
Accession Number
ADA126829

Entities

People

  • Howard L. Heydt
  • Richard A. O'connell
  • Thomas F. Wescott

Organizations

  • General Electric

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aerial Photographs
  • Aerial Photography
  • Application Software
  • Computer Programming
  • Computers
  • Data Processing
  • Device Drivers
  • Engineering
  • Host Computers
  • Image Processing
  • Magnetic Tape
  • Operating Systems
  • Photographs
  • Photography
  • Reliability
  • Software Development
  • System Software

Fields of Study

  • Computer science

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Computer Vision.
  • Software Engineering