Evaluations of classification and spectral unmixing algorithms using ground based satellite imaging

James F. Scholl; E. Keith Hege; Michael Lloyd-Hart; Daniel O'Connell; William R. Johnson; Eustace L. Dereniak

doi:10.1117/12.664954

8 May 2006 Evaluations of classification and spectral unmixing algorithms using ground based satellite imaging

James F. Scholl, E. Keith Hege, Michael Lloyd-Hart, Daniel O'Connell, William R. Johnson, Eustace L. Dereniak

Proceedings Volume 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII; 623328 (2006) https://doi.org/10.1117/12.664954
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Abundances of material components in objects are usually computed using techniques such as linear spectral unmixing on individual pixels captured on hyperspectral imaging devices. However, algorithms such as unmixing have many flaws, some due to implementation, and others due to improper choices of the spectral library used in the unmixing (as well as classification). There may exist other methods for extraction of this hyperspectral abundance information. We propose the development of spatial ground truth data from which various unmixing algorithm analyses can be evaluated. This may be done by implementing a three-dimensional hyperpspectral discrete wavelet transform (HSDWT) with a low-complexity lifting method using the Haar basis. Spectral unmixing, or similar algorithms can then be evaluated, and their effectiveness can be measured by how well or poorly the spatial and spectral characteristics of the target are reproduced at full resolution (which becomes single object classification by pixel).

Citation Download Citation

James F. Scholl, E. Keith Hege, Michael Lloyd-Hart, Daniel O'Connell, William R. Johnson, and Eustace L. Dereniak "Evaluations of classification and spectral unmixing algorithms using ground based satellite imaging", Proc. SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 623328 (8 May 2006); https://doi.org/10.1117/12.664954

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