Effects of linear projections on the performance of target detection and classification in hyperspectral imagery

Chen, Yi; Nasrabadi, Nasser M.; Tran, Trac D.

doi:doi:10.1117/1.3659894

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Journal of Applied Remote Sensing / Volume 5 / Research Papers

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Effects of linear projections on the performance of target detection and classification in hyperspectral imagery

J. Appl. Remote Sens. 5, 053563 (Nov 14, 2011); http://dx.doi.org/10.1117/1.3659894

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Abstract

References (36)

Yi Chen and Trac D. Tran

The Johns Hopkins University, Department of Electrical and Computer Engineering, 3400 N. Charles Street, Baltimore, Maryland 21218

Nasser M. Nasrabadi

US Army Research Laboratory, 2800 Powder Mill Road, Adelphi, Maryland 20783

We explore the use of several linear dimensionality reduction techniques that can be easily integrated into the hyperspectral imaging sensor. We investigate their effect on the performance of classical target detection and classification techniques for hyperspectral images. Specifically, each N-dimensional spectral pixel is embedded to an M-dimensional measurement space with M ≪ N by a linear transformation (e.g., random measurement matrices, uniform downsampling, principal component analysis). The detectors/classifiers are then applied to the M-dimensional measurement vectors and their performances are compared to those obtained from the entire N-dimensional spectrum. Through extensive experiments on several hyperspectral imagery data sets, we demonstrate that only a small amount of measurements are necessary to achieve comparable performance to that obtained by exploiting the full N-dimensional pixels.

History

Received Apr 18, 2011
Accepted Oct 21, 2011
Revised Oct 19, 2011
Published online Nov 14, 2011

Digital Object Identifier

http://dx.doi.org/10.1117/1.3659894

Citation

Yi Chen, Nasser M. Nasrabadi and Trac D. Tran, "Effects of linear projections on the performance of target detection and classification in hyperspectral imagery", J. Appl. Remote Sens. 5, 053563 (Nov 14, 2011); http://dx.doi.org/10.1117/1.3659894