Simulation of Subpixel Atmospherically Degraded Target Detectability in Cluttered Scenes

Abstract

This document describes a tool designed to assess the performance of detection algorithms when different atmospheric correction algorithms are employed to compensate for different, possibly detrimental, atmospheric and sensor hyperspectral image degradations. This is done by simulating atmospheric and sensor effects on background images, applying different correction algorithms to the generated images and running detection algorithms on the resulting images. Images with and without the presence of sub pixel solid or gas targets are used to compute probability distributions of both detection and false alarms. These are then used to compute ROC curves that are useful for assessing each detection algorithm under the prevailing conditions.

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Document Details

Document Type
Technical Report
Publication Date
Sep 06, 2013
Accession Number
AD1003990

Entities

People

  • Guillaume Gagne
  • Vincent Ross

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Temperature
  • Algorithms
  • Altitude
  • Detection
  • Detectors
  • Distortion
  • Equations
  • False Alarms
  • Jet Propulsion
  • Long-Wavelength Infrared Radiation
  • Measurement
  • Optics
  • Probability
  • Probability Distributions
  • Scattering
  • Target Detection
  • User Interface

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference