You are not logged in.

Spectral unmixing based on nonnegative matrix factorization with local smoothness constraint

Yang, Zuyuan, Yang, Liu, Cai, Zhaoquan and Xiang, Yong 2015, Spectral unmixing based on nonnegative matrix factorization with local smoothness constraint, in ChinaSIP 2015: Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, IEEE, Piscataway, N.J., pp. 635-638, doi: 10.1109/ChinaSIP.2015.7230481.

Attached Files
Name Description MIMEType Size Downloads

Title Spectral unmixing based on nonnegative matrix factorization with local smoothness constraint
Author(s) Yang, Zuyuan
Yang, Liu
Cai, Zhaoquan
Xiang, YongORCID iD for Xiang, Yong orcid.org/0000-0003-3545-7863
Conference name IEEE China Summit and International Conference on Signal and Information Processing (2015 : Chengdu, China)
Conference location Chengdu, China
Conference dates 12- 15 Jul. 2015
Title of proceedings ChinaSIP 2015: Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing
Publication date 2015
Start page 635
End page 638
Total pages 4
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) spectral unmixing
nonnegative matrix factorization
smoothness constraint
Summary Spectral unmixing (SU) is an emerging problem in the remote sensing image processing. Since both the endmember signatures and their abundances have nonnegative values, it is a natural choice to employ the attractive nonnegative matrix factorization (NMF) methods to solve this problem. Motivated by that the abundances are sparse, the NMF with local smoothness constraint (NMF-LSC) is proposed in this paper. In the proposed method, the smoothness constraint is utilized to impose the sparseness, instead of the traditional L1-norm which is restricted by the underlying column-sum-to-one requirement of the to the abundance matrix. Simulations show the advantages of our algorithm over the compared methods.
ISBN 9781479919482
Language eng
DOI 10.1109/ChinaSIP.2015.7230481
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
Socio Economic Objective 861799 Communication Equipment not elsewhere classified
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30081735

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 2 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 78 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Fri, 11 Mar 2016, 14:28:44 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.