Effects of resolution enhancement and atmospheric correction pre-processing in classification of hyperspectral imagery

Shirley Morillo-Contreras; Miguel Velez-Reyes; Shawn D. Hunt

doi:10.1117/12.543857

12 August 2004 Effects of resolution enhancement and atmospheric correction preprocessing in classification of hyperspectral imagery

Shirley Morillo-Contreras, Miguel Velez-Reyes, Shawn D. Hunt

Author Affiliations +

Proceedings Volume 5425, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X; (2004) https://doi.org/10.1117/12.543857
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

This paper presents a comparison between classification results when hyperspectral imagery is pre-processed by spectral resolution enhancement algorithms and/or atmospheric correction algorithms. Different combinations of pre-processing options were investigated. Overall, resolution enhancement does improve classification accuracy with and without atmospheric correction. Furthermore, classification accuracy using radiance data enhanced by resolution enhancement techniques was higher than accuracies obtained by atmospherically corrected data even when it was enhanced. AVIRIS data from the Indian Pines test site in NW Indiana was used to illustrate the different concepts.

Citation Download Citation

Shirley Morillo-Contreras, Miguel Velez-Reyes, and Shawn D. Hunt "Effects of resolution enhancement and atmospheric correction preprocessing in classification of hyperspectral imagery", Proc. SPIE 5425, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, (12 August 2004); https://doi.org/10.1117/12.543857

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