Linear Feature Extraction from Radar Imagery.

Abstract

This report summarizes a feasibility study performed by AI&DS to determine the requirements for the extraction of linear features such as roads, rivers, and environmental region boundaries from SAR aerial imagery. The effort has involved determining effective processes for extracting such features by algorithm surveys, hand processing sample imagery, and algorithm implementation. This work has provided the necessary basis for the implementation of an intelligent, automated system in Phase II of this research. We have designed a general vision system for linear feature extraction which can be generalized to a wide range of SAR (and other sensor) objects, and begun developments of the components of such a system. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1985
Accession Number
ADA161154

Entities

People

  • Daryl T. Lawton
  • Gary D. Conner
  • Jay Glicksman
  • Robert J. Drazovich

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Aerial Photography
  • Algorithms
  • Artificial Intelligence
  • Computer Graphics
  • Computer Vision
  • Control Systems
  • Databases
  • Feature Extraction
  • Filtration
  • Forests
  • Image Processing
  • Image Segmentation
  • Information Science
  • Pattern Recognition
  • Recognition
  • Statistics
  • Synthetic Aperture Radar

Fields of Study

  • Computer science

Readers

  • Linear Algebra
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design

Technology Areas

  • AI & ML