Geosynchronous Binary Object Detection

Abstract

This paper will compare two competing methods for optically detecting binary objects. This is mostly intended for use in Space Situational Awareness (SSA), though has the potential to be used in other applications. The first method, point detection is a versatile algorithm which is currently used to detect extraterrestrial objects. However, it does not take into account interference by a nearby object. Therefore a second algorithm is investigated, referred to as binary object detection, which does. The binary detection algorithm proved to have a superior Receiver Operating Characteristic (ROC) curve (based upon the area under the curve) in all cases, not just when the two points were near. The algorithm was tested with both simulated and measured data containing single points and binary objects.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2016
Accession Number
AD1053795

Entities

People

  • Patrick B. Cunningham

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Background Noise
  • Data Sets
  • Detection
  • Detectors
  • False Alarms
  • Geosynchronous Orbits
  • Probability
  • Simulations
  • Situational Awareness
  • Space Debris
  • Space Objects
  • Space Situational Awareness
  • Statistics
  • United States Government
  • Warning Systems

Fields of Study

  • Computer science

Readers

  • Aerospace Engineering.
  • Distributed Systems and Data Platform Development
  • Regression Analysis.

Technology Areas

  • AI & ML
  • Space
  • Space - Space Objects