A 2DPCA-based method for automatic selection of hyperspectral image bands for color visualization

Jason Kaufman; Mehmet Celenk; Karmon Vongsy

doi:10.1117/12.783745

5 May 2008 A 2DPCA-based method for automatic selection of hyperspectral image bands for color visualization

Jason Kaufman, Mehmet Celenk, Karmon Vongsy

Proceedings Volume 6966, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV; 69661L (2008) https://doi.org/10.1117/12.783745
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

Hyperspectral imagery (HSI) is a relatively new technology capable of relaying intensity information gathered from both visible and non-visible ranges of the electromagnetic spectrum. HSI images can contain hundreds of bands, which present a problem when an image analyst must select the most relevant bands from such an image for visualization, particularly when the bands that are within the range of human vision are either not present or heavily distorted. It is proposed here that two-dimensional principal component analysis (2DPCA) can aid in the automatic selection of the bands from an HSI image that would best reflect visual information. The method requires neither prior knowledge of the image contents nor the association between spectral bands and their center wavelengths.

Citation Download Citation

Jason Kaufman, Mehmet Celenk, and Karmon Vongsy "A 2DPCA-based method for automatic selection of hyperspectral image bands for color visualization", Proc. SPIE 6966, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 69661L (5 May 2008); https://doi.org/10.1117/12.783745

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