Special Section on Airborne Hyperspectral Remote Sensing of Urban Environments

Endmember number estimation for hyperspectral imagery based on vertex component analysis

[+] Author Affiliations
Rong Liu

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Luoyu Road, Wuhan 430079 China

Bo Du

Wuhan University, School of Computer, Luoyu Road, Wuhan 430079 China

Liangpei Zhang

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Luoyu Road, Wuhan 430079 China

J. Appl. Remote Sens. 8(1), 085093 (Sep 05, 2014). doi:10.1117/1.JRS.8.085093
History: Received April 29, 2014; Revised July 12, 2014; Accepted July 28, 2014
Text Size: A A A

Abstract.  Endmember extraction is a crucial step in hyperspectral unmixing. For many endmember extraction algorithms, the number of endmembers is a precondition, and the accuracy of the endmember number directly affects the quality of the unmixing results. This paper proposes an automatic method for estimating the endmember number for hyperspectral imagery on the basis of vertex component analysis (VCA). The endmember extraction result of VCA is inconsistent because of the involvement of random vectors. This feature is utilized by our method to obtain the real endmember number. First, the endmember number is initialized with a small integer. Then, VCA is repeatedly implemented, and the endmember extraction results are different each time because of VCA’s inconsistency. Finally, the real endmember number is determined from the union of these individual results. Extensive experiments were carried out on both simulated and real hyperspectral images, confirming the effectiveness of the proposed approach.

Figures in this Article
© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Rong Liu ; Bo Du and Liangpei Zhang
"Endmember number estimation for hyperspectral imagery based on vertex component analysis", J. Appl. Remote Sens. 8(1), 085093 (Sep 05, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.085093


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

PubMed Articles
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.