Independent component analysis-based band selection techniques for hyperspectral images analysis

Rania Zaatour; Sonia Bouzidi; Ezzeddine Zagrouba

doi:10.1117/1.JRS.11.026006

14 April 2017 Independent component analysis-based band selection techniques for hyperspectral images analysis

Rania Zaatour, Sonia Bouzidi, Ezzeddine Zagrouba

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 11, Issue 2, 026006 (April 2017). https://doi.org/10.1117/1.JRS.11.026006

Abstract

Extended multiattribute profiles (EMAPs) are morphological profiles built on the extracted features of a hyperspectral image. These profiles proved, when used in a hyperspectral image classification task, their ability to combine the spectral and spatial information offered by this type of data. We propose building EMAPs on the features selected from a hyperspectral image. To do so, three band selection techniques are proposed. The first one is a modified version of the existent independent component analysis (ICA)-based band selection. The other two are based on the initialization-driven ICA. To test the effectiveness of the aforementioned feature selection methods, we used them to build the EMAPs of hyperspectral images; then, the generated profiles served as the input of two hyperspectral image analysis tasks: a hyperspectral image classification task-based on the sparse representation of EMAPs and an EMAP-based change detection technique that we are proposing in this paper.

Citation Download Citation

Rania Zaatour, Sonia Bouzidi, and Ezzeddine Zagrouba "Independent component analysis-based band selection techniques for hyperspectral images analysis," Journal of Applied Remote Sensing 11(2), 026006 (14 April 2017). https://doi.org/10.1117/1.JRS.11.026006

Received: 17 November 2016; Accepted: 28 March 2017; Published: 14 April 2017

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