Ordering on the probability simplex of endmembers for hyperspectral morphological image processing

Gianni Franchi, Jesús Angulo

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

Abstract

A hyperspectral image can be represented as a set of materials called endmembers, where each pixel corresponds to a mixture of several of these materials. More precisely pixels are described by the quantity of each material, this quantity is often called abundance and is positive and of sum equal to one. This leads to the characterization of a hyperspectral image as a set of points in a probability simplex. The geometry of the simplex has been particularly studied in the theory of quantum information, giving rise to different notions of distances and interesting preorders. In this paper, we present total orders based on theory of the ordering on the simplex. Thanks to this theory, we can give a physical interpretation of our orders.

Original languageEnglish
Title of host publicationMathematical Morphology and its Applications to Signal and Image Processing - 12th International Symposium, ISMM 2015, Proceedings
EditorsLaurent Najman, Hugues Talbot, Jon Atli Benediktsson, Jocelyn Chanussot
PublisherSpringer Verlag
Pages410-421
Number of pages12
ISBN (Print)9783319187198
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event12th International Symposium on Mathematical Morphology, ISMM 2015 - Reykjavik, Iceland
Duration: 27 May 201529 May 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9082
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Symposium on Mathematical Morphology, ISMM 2015
Country/TerritoryIceland
CityReykjavik
Period27/05/1529/05/15

Keywords

  • Hyperspectral image
  • Learning an order
  • Mathematical morphology
  • Quantum information

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