An Application of Statistics to Algorithm Development in Image Analysis

Abstract

We gathered and processed infrared (IR) images taken by a quantum well infrared photodetector (QWIP) camera to support the development of an algorithm for airborne target detection. This report addresses the statistical aspects of this effort. Digitized images consisted of background clutter alone and background clutter with a small aircraft target. We used a template-matching technique to detect the small aircraft amidst the background clutter. We propose a reasonable statistic for use in our algorithm. Our primary focus is to describe the experimental design and analysis used in determining parameter settings for the detection algorithm and to report those results.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2001
Accession Number
ADA395055

Entities

People

  • Barry Bodt
  • David Hillis
  • Philip David

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Airborne
  • Aircrafts
  • Algorithms
  • Data Analysis
  • Data Science
  • Detection
  • Detectors
  • Experimental Design
  • Information Science
  • Infrared Detectors
  • Military Research
  • Orientation (Direction)
  • Regression Analysis
  • Statistics
  • Target Detection
  • Template Patterns
  • Warning Systems

Readers

  • Computer Vision.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • Quantum Computing