Automated Radar Image Analysis Research in Support of Military Needs,

Abstract

Synthetic aperture radars (SAR) are high resolution radars that can be used for reconnaissance, surveillance, and terrain analysis. The high resolution in range and azimuth is achieved by pulse compression and phase history processing, respectively. SAR images have much in common with optical images such as aerial photographs. Both are characterized by tones, patterns, shapes, and shadows. There are, however, significant differences between SAR and optical images due to the differences in the wavelengths and in the illumination and reflection of the targets. Cloud cover presents an obstacle to optical imagery but not to SAR imagery because radar waves can penetrate cloud cover. Optical imagery provides more detailed information than SAR imagery because of its higher resolution. The resolution of optical imagery decreases with distance whereas the resolution of SAR imagery is independent of distance. For large distances, for example from satellites to the surface of the earth, the resolution of SAR imagery approaches the resolution of optical imagery. These properties make SAR a very useful tool for military purposes. SAR systems can collect large quantities of imagery. For the timely and economic analysis and interpretation of SAR imagery there is a need for the development of automated and interactive capabilities that will reduce the dependency on and requirements for highly trained image analysts.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1986
Accession Number
ADA179615

Entities

People

  • Frederick W. Rohde
  • Pi-fuay Chen
  • Richard A. Hevenor

Organizations

  • Geospatial Research Laboratory

Tags

Communities of Interest

  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Classification
  • Cloud Cover
  • Computer Languages
  • Computer Programming
  • Computers
  • Data Analysis
  • Detection
  • Feature Extraction
  • High Resolution
  • Image Processing
  • Lisp Programming Language
  • Optical Images
  • Programming Languages
  • Radar
  • Recognition
  • Synthetic Aperture Radar

Readers

  • Atmospheric Remote Sensing.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Radar Systems Engineering.

Technology Areas

  • Space
  • Space - Space Objects