The Visible Signature Modelling and Evaluation ToolBox

Abstract

A new software suite, the Visible Signature ToolBox (VST), has been developed to model and evaluate the visible signatures of maritime platforms. The VST is a collection of commercial, off-the-shelf software and DSTO developed programs and procedures. The software can logically be divided into image generation and probability of detection (POD) modelling codes. CAMOGEN (CAMOuflage GENeration) and CAMEO-SIM (CAMouflage Electro-Optic SIMulation) provide the image generation, whereas ORACLE provides the POD analysis capability. The ocean modelling is supplied by HYDROLIGHT. All of these stand-alone programs are integrated through DSTO developed software and procedures, to produce a software suite. The VST can be utilised to model and assess visible signatures of maritime platforms. A number of examples are presented to demonstrate the capabilities of the VST. In one example, the visible signature of a submarine is examined under various conditions. In another example, visible imagery of a ship is presented for different times of day and various observer perspectives. A demonstration of how a change in surface colour affects the visible signature of the ship is also shown. The final example is the creation and initial assessement of a disruptive pattern for a watercraft on a river.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2008
Accession Number
ADA503492

Entities

People

  • Joanne B. Culpepper
  • Rodney A. J. Borg

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Computer Programming
  • Computer Programs
  • Computers
  • Detection
  • Detectors
  • Geometry
  • Global Positioning Systems
  • Graphical User Interface
  • Measurement
  • Operating Systems
  • Optical Properties
  • Optics
  • Refraction
  • Refractive Index
  • Scattering
  • Seabed
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Maritime and Naval Warfare Studies