Bistatic Underwater Optical Imaging Using AUVs

Abstract

To be optimally useful, optical sensors designed and developed for AUVs should be small and should require minimal power. In addition, they should be low cost, since the AUV systems themselves must be low cost, and because the AUV might not always be recoverable. Never-the-less, they should provide imagery of sufficient quality to fulfill the crucial identification role in MCM. Identification quality imaging sensors, such as Streak Tube Imaging Lidar (STIL) and Laser Line Scan (LLS), have been developed for larger MCM platforms. These sensor systems are currently relatively large, expensive, and draw significant power, and so are not immediate candidates for small AUV platforms. These sophisticated sensor systems, however, have been specifically designed to effectively deal with the backscatter noise and blur/glow/forward scatter noise which typically limit the performance of underwater optical sensors. The thrust of the current effort is to investigate the optical sensor concepts which are designed to exploit the cooperative behavior between small AUVs, or between an AUV and a larger platform. Specifically, by exploiting cooperative behavior, optical sensor systems can utilize bistatic imaging approaches. Bistatic imaging can be anticipated to provide major reductions in the backscatter noise which frequently limits the performance of low cost optical sensor systems. Since the bistatic aspect is the most fundamental change from other existing optical imaging sensors, this bistatic aspect - along with the required cooperative behavior - is the central thrust of the current effort.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA516692

Entities

People

  • Michael P. Strand

Organizations

  • Naval Surface Warfare Center

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Autonomous Underwater Vehicles
  • Backscattering
  • Contrast
  • Detectors
  • Geometry
  • Graphics
  • Graphics Processing Unit
  • High Resolution
  • Identification
  • Images
  • Light Sources
  • Optical Detectors
  • Parallel Computing
  • Parallel Processing
  • Scattering
  • Three Dimensional
  • Water Quality

Fields of Study

  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Medical Imaging.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Directed Energy