Comparison between the Additive and Substitutive Models

T. Shapira, D. N. Rotman, S. R. Rotman

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

Abstract

Several different algorithms have been suggested for matched target detection for solid and gas point targets: theoretically, gas targets lead to an additive point target detection algorithm while solid targets lead to a substitutive point target detection algorithm. In this paper, we consider deviations that may occur in real life non-stationary backgrounds that would complicate the choice of algorithm. In particular, we have identified three possible weaknesses to the substitutive algorithm. First, incorrect estimates of the background for a minority of pixels can lead to considerably worse results in the substitutive algorithm compared to the additive algorithm. Second, an accurate knowledge of the amplitude (or power) of the target is needed for the substitutive algorithm compared to the additive algorithm. Thirdly, due to adjacency effects, it is not obvious which model to use in certain cases. For this latter case, we consider a hybrid model originally proposed by A. Ziemann et al. [1]. This model, with an adaptive parameter estimate of the form of the detection to use, appears to be a reasonable substitute for the two aforementioned algorithms.

Original languageAmerican English
Title of host publicationAlgorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII
EditorsMiguel Velez-Reyes, David W. Messinger
PublisherSPIE
ISBN (Electronic)9781510650640
DOIs
StatePublished - 1 Jan 2022
EventAlgorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII 2022 - Virtual, Online
Duration: 6 Jun 202212 Jun 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12094

Conference

ConferenceAlgorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII 2022
CityVirtual, Online
Period6/06/2212/06/22

Keywords

  • Hyperspectral
  • Simplex
  • Target detection

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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