Remote Sensing Applications and Decision Support

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

[+] Author Affiliations
Rania Zaatour, Sonia Bouzidi, Ezzeddine Zagrouba

Université de Tunis El Manar, Research Team SIIVA, Laboratoire LIMTIC, Institut Supérieur d’Informatique, Ariana, Tunisia

J. Appl. Remote Sens. 11(2), 026006 (Apr 14, 2017). doi:10.1117/1.JRS.11.026006
History: Received November 17, 2016; Accepted March 28, 2017
Text Size: A A A

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.

© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Rania Zaatour ; Sonia Bouzidi and Ezzeddine Zagrouba
"Independent component analysis-based band selection techniques for hyperspectral images analysis", J. Appl. Remote Sens. 11(2), 026006 (Apr 14, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.026006


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.