Evaluating backgrounds for subpixel target detection: When closer isn't better

N. Hasson, S. Asulin, D. Blumberg, S. R. Rotman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Several different background estimators are considered when performing sub-pixel target acquisition. Although all leave noise of about the same amplitude, the difference in their N-dimensional orientation makes a big difference in the target detection performance. Metrics to evaluate the correlation of the noise are presented.

Original languageEnglish
Title of host publicationAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI
EditorsMiguel Velez-Reyes, Fred A. Kruse
PublisherSPIE
ISBN (Electronic)9781628415889
DOIs
StatePublished - 1 Jan 2015
EventAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI - Baltimore, United States
Duration: 21 Apr 201523 Apr 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9472
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI
Country/TerritoryUnited States
CityBaltimore
Period21/04/1523/04/15

Keywords

  • Background estimation
  • Hyperspectral
  • Point target detection
  • Subpixel

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