Robust classification of hyperspectral images

Anne Solberg; Are F. C. Jensen

doi:10.1117/12.753095

24 October 2007 Robust classification of hyperspectral images

Anne Solberg, Are F. C. Jensen

Proceedings Volume 6748, Image and Signal Processing for Remote Sensing XIII; 67480O (2007) https://doi.org/10.1117/12.753095
Event: SPIE Remote Sensing, 2007, Florence, Italy

Abstract

This paper discusses robust classification of hyperspectral images. Both methods for dimensionality reduction and robust estimation of classifier parameters in full dimension are presented. A new approach to dimensionality reduction that uses piecewise constant function approximation of the spectral curve is compared to conventional dimensionality reduction methods like principal components, feature selection, and decision boundary feature extraction. Computing robust estimates of the decision boundary in full dimension is an alternative to dimensionality reduction. Two recently proposed techniques for covariance estimation based on the eigenvector decomposition and the Cholesky decomposition are compared to Support Vector Machine classifiers, simple regularized estimates, and regular quadratic classifiers. The experimental results on four different hyperspectral data sets demonstrate the importance of using simple, sparse models. The sparse model using Cholesky decomposition in full dimension performed slightly better than dimensionality reduction. However, if speed is an issue, the piecewise constant function approximation method for dimensionality reduction could be used.

Citation Download Citation

Anne Solberg and Are F. C. Jensen "Robust classification of hyperspectral images", Proc. SPIE 6748, Image and Signal Processing for Remote Sensing XIII, 67480O (24 October 2007); https://doi.org/10.1117/12.753095

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available