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author:

Zou, C. (Zou, C..) [1] | Xia, Y. (Xia, Y..) [2]

Indexed by:

Scopus

Abstract:

This letter proposes a novel double regularization unmixing-based method for hyperspectral image (HSI) superresolution. The proposed cost function contains two data-fidelity terms, the endmember regularization term and the abundance regularization term. Since the double regularization unmixing terms are able to exploit the spatial structure information of endmember and abundance, respectively, the nonnegative factorization (spectral unmixing) error is minimized. As a result, the performance of the proposed HSI superresolution method can be enhanced in terms of noise suppression and the special structure information preservation of reconstruction images. Finally, the associated optimization problem is effectively solved by an alternating direction optimization algorithm. Simulation results illustrate that the proposed method has a better performance than the state-of-the-art methods in terms of both visual effectiveness and quality indices. © 2017 IEEE.

Keyword:

Double regularization unmixing; Hyperspectral image (HSI); Multispectral image (MSI); Nonnegative factorization; Superresolution

Community:

  • [ 1 ] [Zou, C.]Center for Discrete Mathematics and Theoretical Computer Science, College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Zou, C.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Xia, Y.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350108, China

Reprint 's Address:

  • [Zou, C.]Center for Discrete Mathematics and Theoretical Computer Science, College of Mathematics and Computer Science, Fuzhou UniversityChina

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Source :

IEEE Geoscience and Remote Sensing Letters

ISSN: 1545-598X

Year: 2017

Issue: 7

Volume: 14

Page: 1022-1026

2 . 8 9 2

JCR@2017

4 . 0 0 0

JCR@2023

ESI HC Threshold:177

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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