Hyperspectral blind unmixing and multiple target detection using linear mixture model

Qaisar Mushtaq*, Ihsan Ul Haq, Muhammad Ahmad, Muhammad Sohaib

*Corresponding author for this work

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

3 Scopus citations

Abstract

In this paper a blind source separation technique Joint Approximate Diagonalization of Eigen-matrices (JADE) is investigated to unmixing and multiple target detection for hyperspectral imagery data. Our targeted minerals are Alunite, Buddingtonite, Calcite and Kaolinite in 'Cuprite' scene data that has been widely used for research experiments in hyperspectral imagery. A comparative study is conducted to show the effectiveness of the JADE with Vertex Component Analysis. The results are evaluated with both full and reduced bands.

Original languageEnglish
Title of host publicationKey Engineering Materials II
Pages1224-1228
Number of pages5
DOIs
StatePublished - 2012
Externally publishedYes

Publication series

NameAdvanced Materials Research
Volume488-489
ISSN (Print)1022-6680

Keywords

  • Blind unmixing
  • Hyperspectral imagery (HSI)
  • JADE
  • Source separation
  • Target detection

ASJC Scopus subject areas

  • General Engineering

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