SWAMSI: Bistatic CSAS and Target Echo Studies

Abstract

The objective of this work is to demonstrate the feasibility of Autonomous Underwater Vehicle (AUV) based bistatic CSAS imaging of bottom mines and mine-like targets, to evaluate and compare the quality of bistatic imaging relative to monostatic imaging, and to determine the practical advantages (or disadvantages) of bistatic imaging with respect to monostatic imaging.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2007
Accession Number
ADA569080

Entities

People

  • Kent Scarbrough
  • Stephen K. Mitchell

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Acoustic Images
  • Autonomous Underwater Vehicles
  • Beam Steering
  • Diameters
  • Echoes
  • Frequency
  • Frequency Bands
  • Image Processing
  • Image Reconstruction
  • Images
  • Navigation
  • Signal Processing
  • Synthetic Aperture Radar
  • Synthetic Aperture Sonar
  • Target Echoes
  • Underwater Vehicles
  • Vehicles

Fields of Study

  • Medicine
  • Physics

Readers

  • Acoustical Oceanography.
  • Image Processing and Computer Vision.