Road Detection on Radar Imagery.

Abstract

Detecting a road network on radar imagery is becoming a new area in remote sensing. This report is an attempt to build a facet-based road network detection procedure for radar imagery. This procedure includes the line detection part and the road detection and connection part. The first part analytically detects linear features using a facet valley-finding technique which looks for the first directional derivative zero-crossing of a bicubic facet model. The second part statistically screens the linear features on a component-by-component base and then optimally connects the screened linear features using a dynamic programming algorithm. Keywords: Linear features, Radar imagery, Remote sensing; and Road network detection.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1985
Accession Number
ADA164730

Entities

People

  • Jungwhan J. Kim
  • Robert M. Haralick

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programming
  • Depression Angles
  • Detection
  • Detectors
  • Directional
  • Dynamic Programming
  • Image Processing
  • Images
  • Radar
  • Radar Images
  • Remote Sensing
  • Side Looking Radar
  • Surface Roughness
  • Synthetic Aperture Radar
  • Transmitters
  • Two Dimensional

Readers

  • Approximation Theory.
  • Operations Research
  • Sensor Fusion and Tracking Systems.