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=Title: =
== Special session: Hyperspectral imagery for remote sensing: intelligent analysis and applications ==
Hyperspectral imagery for remote sensing: intelligent analysis and applications


== Chairs==
=== Chairs ===
Miguel Angel Veganzones
Miguel Angel Veganzones
Manuel Graña
Manuel Graña
Computational Intelligence Group UPV/EHU
Computational Intelligence Group, UPV/EHU


== Contact email==
=== Contact email ===
maveganzones@gmail.com
miguelangel.veganzones@ehu.es
==Description:==


Hyperspectral data analysis is a very active field due to the great improvenet in remote sensing and the exponentially grow of data flow from in-orbit instruments. The fields of applicability are extensive. Geoscience tools are demanded for disasters prevision, environmental analysis, security. The investigation of new tools capable of predict, monitor and assist in preparation of strategies to minimize the damage produced by natural and human-made disasters would contribute to a better quality of life and to the reduction of economical losses. The purpose of this invited session in KES 2008 is to present and discuss researches on methods for hyperspectral imagery analysis and theirs applications.
===Description===
Hyperspectral data analysis is a very active field due to the great improvement in remote sensing and the exponentially grow of data flow from in-orbit instruments. The fields of applicability are extensive. Geoscience tools are demanded for disasters prevision, environmental analysis or security. The investigation of new tools capable of predict, monitor and assist in preparation of strategies to minimize the damage produced by natural and human-made disasters would contribute to a better quality of life and to the reduction of economical losses. The purpose of this invited session in KES 2008 is to present and discuss researches on intelligent methods for hyperspectral imagery analysis and theirs applications.


==dates==
===Important dates===


==Topics:==
===Topics===


Hyperspectral data acquisition
* Hyperspectral data acquisition


Unmixing methods
* Unmixing methods


Spatial and spectral characterization
* Spatial and spectral characterization


Classification
* Classification


Analysis of hyperspectral data  
* Analysis of hyperspectral data  


Applications
* Applications


==Program Committee: to be announced==
===Program Committee===
 
To be announced

Revisión del 00:31 14 dic 2007

Special session: Hyperspectral imagery for remote sensing: intelligent analysis and applications

Chairs

Miguel Angel Veganzones Manuel Graña Computational Intelligence Group, UPV/EHU

Contact email

miguelangel.veganzones@ehu.es

Description

Hyperspectral data analysis is a very active field due to the great improvement in remote sensing and the exponentially grow of data flow from in-orbit instruments. The fields of applicability are extensive. Geoscience tools are demanded for disasters prevision, environmental analysis or security. The investigation of new tools capable of predict, monitor and assist in preparation of strategies to minimize the damage produced by natural and human-made disasters would contribute to a better quality of life and to the reduction of economical losses. The purpose of this invited session in KES 2008 is to present and discuss researches on intelligent methods for hyperspectral imagery analysis and theirs applications.

Important dates

Topics

  • Hyperspectral data acquisition
  • Unmixing methods
  • Spatial and spectral characterization
  • Classification
  • Analysis of hyperspectral data
  • Applications

Program Committee

To be announced