Subspace projection approach to characterization and classification of TRWIS III data

Stephanie R. Sandor-Leahy

doi:10.1117/12.366294

27 October 1999 Subspace projection approach to characterization and classification of TRWIS III data

Stephanie R. Sandor-Leahy

Proceedings Volume 3753, Imaging Spectrometry V; (1999) https://doi.org/10.1117/12.366294
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

The TRW Imaging Spectrometer III (TRWIS III) airborne hyperspectral sensor collects imagery in 384 contiguous spectral channels covering the 400 nm to 2450 nm wavelength range. TRWIS III has been used to gather data for a number of remote sensing applications including classification of desert vegetation, forest species, and man-made materials. Analysis has also been performed on TRWIS III agricultural images. This paper will describe the subspace projection technique that was used to process agricultural imagery. An example will be shown in which data dimensionality is reduced by projecting test data onto the space spanned by training data. A minimum Mahalanobis distance measure from the means of the training data class clusters is used as the pixel classification criterion.

Citation Download Citation

Stephanie R. Sandor-Leahy "Subspace projection approach to characterization and classification of TRWIS III data", Proc. SPIE 3753, Imaging Spectrometry V, (27 October 1999); https://doi.org/10.1117/12.366294

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