Further investigations into the use of linear and nonlinear mixing models for hyperspectral image analysis

Kerri J. Guilfoyle, Mark L. Althouse, Chein I. Chang

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)

Abstract

This paper presents the latest results of a series of experiments designed to identify situations in which linear and nonlinear mixing models are expected to occur. It continues to investigate the possibility that there may be naturally occurring situations in which the typically used linear mixture model may not provide the most accurate spectrum. It has already been shown that for specific situations, in binary mixing cases, the nonlinear mixing model can produce more accurate endmember abundance estimates. These results are extended to include ternary and quaternary mixtures, as well as hyperspectral imagery collected over Cuprite, Nevada. In order to test these hypothesis, laboratory endmember and mixture data are collected in various scenarios for analysis. As shown in experiments, ternary and quaternary mixtures are more complicated than binary mixtures and the nonlinear mixing is more likely to occur in ternary and quaternary mixtures than in binary mixtures.

Original languageEnglish
Pages (from-to)157-167
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4725
DOIs
Publication statusPublished - 2002
EventAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII - Orlando, FL, United States
Duration: 2002 Apr 12002 Apr 4

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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