Bilinear models for nonlinear unmixing of hyperspectral images

Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper compares several nonlinear models recently introduced for hyperspectral image unmixing. All these models consist of bilinear models that have shown interesting properties for hyperspectral images subjected to multipath effects. The first part of this paper presents different algorithms allowing the parameters of these models to be estimated. The relevance and flexibility of these models for spectral unmixing are then investigated by comparing the reconstruction errors and spectral angle mappers computed from synthetic and real dataset. This kind of study is important to determine which mixture model should be used in practical applications for hyper-spectral image unmixing.

Original languageEnglish
Title of host publication2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
PublisherIEEE
ISBN (Electronic)9781457722011
ISBN (Print)9781457722028
DOIs
Publication statusPublished - 18 Nov 2011
Event3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing 2011 - Lisbon, Portugal
Duration: 6 Jun 20119 Jun 2011

Conference

Conference3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing 2011
Abbreviated titleWHISPERS 2011
CountryPortugal
CityLisbon
Period6/06/119/06/11

Keywords

  • Hyperspectral imagery
  • linear model
  • nonlinear model
  • unmixing

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Altmann, Y., Dobigeon, N., & Tourneret, J-Y. (2011). Bilinear models for nonlinear unmixing of hyperspectral images. In 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) [6080928] IEEE. https://doi.org/10.1109/WHISPERS.2011.6080928
Altmann, Yoann ; Dobigeon, Nicolas ; Tourneret, Jean-Yves. / Bilinear models for nonlinear unmixing of hyperspectral images. 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2011.
@inproceedings{bf34327f920c49ddbf87a856e054c456,
title = "Bilinear models for nonlinear unmixing of hyperspectral images",
abstract = "This paper compares several nonlinear models recently introduced for hyperspectral image unmixing. All these models consist of bilinear models that have shown interesting properties for hyperspectral images subjected to multipath effects. The first part of this paper presents different algorithms allowing the parameters of these models to be estimated. The relevance and flexibility of these models for spectral unmixing are then investigated by comparing the reconstruction errors and spectral angle mappers computed from synthetic and real dataset. This kind of study is important to determine which mixture model should be used in practical applications for hyper-spectral image unmixing.",
keywords = "Hyperspectral imagery, linear model, nonlinear model, unmixing",
author = "Yoann Altmann and Nicolas Dobigeon and Jean-Yves Tourneret",
year = "2011",
month = "11",
day = "18",
doi = "10.1109/WHISPERS.2011.6080928",
language = "English",
isbn = "9781457722028",
booktitle = "2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)",
publisher = "IEEE",
address = "United States",

}

Altmann, Y, Dobigeon, N & Tourneret, J-Y 2011, Bilinear models for nonlinear unmixing of hyperspectral images. in 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)., 6080928, IEEE, 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing 2011, Lisbon, Portugal, 6/06/11. https://doi.org/10.1109/WHISPERS.2011.6080928

Bilinear models for nonlinear unmixing of hyperspectral images. / Altmann, Yoann; Dobigeon, Nicolas; Tourneret, Jean-Yves.

2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2011. 6080928.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Bilinear models for nonlinear unmixing of hyperspectral images

AU - Altmann, Yoann

AU - Dobigeon, Nicolas

AU - Tourneret, Jean-Yves

PY - 2011/11/18

Y1 - 2011/11/18

N2 - This paper compares several nonlinear models recently introduced for hyperspectral image unmixing. All these models consist of bilinear models that have shown interesting properties for hyperspectral images subjected to multipath effects. The first part of this paper presents different algorithms allowing the parameters of these models to be estimated. The relevance and flexibility of these models for spectral unmixing are then investigated by comparing the reconstruction errors and spectral angle mappers computed from synthetic and real dataset. This kind of study is important to determine which mixture model should be used in practical applications for hyper-spectral image unmixing.

AB - This paper compares several nonlinear models recently introduced for hyperspectral image unmixing. All these models consist of bilinear models that have shown interesting properties for hyperspectral images subjected to multipath effects. The first part of this paper presents different algorithms allowing the parameters of these models to be estimated. The relevance and flexibility of these models for spectral unmixing are then investigated by comparing the reconstruction errors and spectral angle mappers computed from synthetic and real dataset. This kind of study is important to determine which mixture model should be used in practical applications for hyper-spectral image unmixing.

KW - Hyperspectral imagery

KW - linear model

KW - nonlinear model

KW - unmixing

UR - http://www.scopus.com/inward/record.url?scp=84255167087&partnerID=8YFLogxK

U2 - 10.1109/WHISPERS.2011.6080928

DO - 10.1109/WHISPERS.2011.6080928

M3 - Conference contribution

SN - 9781457722028

BT - 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)

PB - IEEE

ER -

Altmann Y, Dobigeon N, Tourneret J-Y. Bilinear models for nonlinear unmixing of hyperspectral images. In 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE. 2011. 6080928 https://doi.org/10.1109/WHISPERS.2011.6080928