KES2008-hyper

Title:

Hyperspectral imagery for remote sensing: intelligent analysis and applications

Chairs

Miguel Angel Veganzones Manuel Graña Computational Intelligence Group UPV/EHU

Contact email

maveganzones@gmail.com

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.

Topics:

Hyperspectral data acquisition

Unmixing methods

Spatial and spectral characterization

Classification

Analysis of hyperspectral data

Applications