Skip to main content
EURASIP Journal on Advances in Signal Processing
Download PDF
  • Research Article
  • Open access
  • Published:

A Review of Unsupervised Spectral Target Analysis for Hyperspectral Imagery

EURASIP Journal on Advances in Signal Processing volume 2010, Article number: 503752 (2010) Cite this article

Abstract

One of great challenges in unsupervised hyperspectral target analysis is how to obtain desired knowledge in an unsupervised means directly from the data for image analysis. This paper provides a review of unsupervised target analysis by first addressing two fundamental issues, "what are material substances of interest, referred to as targets?" and "how can these targets be extracted from the data?" and then further developing least squares (LS)-based unsupervised algorithms for finding spectral targets for analysis. In order to validate and substantiate the proposed unsupervised hyperspectral target analysis, three applications in endmember extraction, target detection and linear spectral unmixing are considered where custom-designed synthetic images and real image scenes are used to conduct experiments.

Publisher note

To access the full article, please see PDF.

Author information

Authors and Affiliations

  1. Remote Sensing Signal and Image Processing Laboratory, Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, MD, 21250, USA

    Chein-I Chang, Xiaoli Jiao & Chao-Cheng Wu

  2. Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan

    Chein-I Chang

  3. Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202, USA

    Yingzi Du

  4. Management and Information Department, Kang Ning Nursing and Management Junior College, Taipei, Taiwan

    Mann-Li Chang

Authors
  1. Chein-I Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiaoli Jiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chao-Cheng Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yingzi Du
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Mann-Li Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chein-I Chang.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Chang, CI., Jiao, X., Wu, CC. et al. A Review of Unsupervised Spectral Target Analysis for Hyperspectral Imagery. EURASIP J. Adv. Signal Process. 2010, 503752 (2010). https://doi.org/10.1155/2010/503752

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1155/2010/503752

Keywords