Determining the dimensionality of hyperspectral imagery for unsupervised band selection

Alejandra Umana-Diaz; Miguel Velez-Reyes

doi:10.1117/12.488081

23 September 2003 Determining the dimensionality of hyperspectral imagery for unsupervised band selection

Alejandra Umana-Diaz, Miguel Velez-Reyes

Proceedings Volume 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX; (2003) https://doi.org/10.1117/12.488081
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

This paper addresses the problem of estimating the dimension of a hyperspectral image. Spanning and intrinsic dimension concepts are studied as ways to determine the number of degrees of freedom needed to represent a Hyperspectral Image. Algorithms for the estimation of spanning and intrinsic dimension are reviewed and applied to hyperspectral images. Estimators are evaluated and compared using simulated and AVIRIS data. The final objective of this work is to develop an algorithm to determine the number of bands to select in a band subset selection algorithm.

Citation Download Citation

Alejandra Umana-Diaz and Miguel Velez-Reyes "Determining the dimensionality of hyperspectral imagery for unsupervised band selection", Proc. SPIE 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, (23 September 2003); https://doi.org/10.1117/12.488081

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