Finding Curves in SAR CCD Images

Abstract

This paper introduces a pattern recognition and computer vision approach to mitigating false alarms in synthetic aperture radar (SAR) coherence change detection (CCD) images. In this paper, we perform an automatic detection of roads in SAR CCD images. The approach is based on a curve tracing algorithm originally proposed by Steger with modifications to better suit the goal of curve detection in SAR CCD images [1]. In our technique. the traditional Steger's method is used to detect curve points, and cubic splines arc used to approximate the original curve. To detect roads more accurately, preprocessing and outlier removal techniques are performed along with the curve detection.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 22, 2010
Accession Number
ADA533458

Entities

People

  • Michael Yee
  • Miriam Cha
  • Rhonda D. Phillips

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Change Detection
  • Computer Vision
  • Computers
  • Curve Fitting
  • Department Of Defense
  • Detection
  • Directional
  • False Alarms
  • Information Operations
  • Pattern Recognition
  • Radar
  • Recognition
  • Search And Rescue
  • Synthetic Aperture Radar
  • Visual Inspection
  • Warning Systems

Readers

  • Approximation Theory.
  • Computer Vision.
  • Radar Systems Engineering.

Technology Areas

  • AI & ML