A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing

Tales Imbiriba; Ricardo Augusto Borsoi; Jose Carlos Moreira Bermudez

doi:10.1109/SSP.2018.8450853

A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing

Tales Imbiriba
, Ricardo Augusto Borsoi
, Jose Carlos Moreira Bermudez

Computer Science

Universidade Federal de Santa Catarina

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2018 IEEE Statistical Signal Processing Workshop, SSP 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	11-15
Number of pages	5
ISBN (Print)	9781538615706
DOIs	https://doi.org/10.1109/SSP.2018.8450853
State	Published - Aug 29 2018
Event	20th IEEE Statistical Signal Processing Workshop, SSP 2018 - Freiburg im Breisgau, Germany Duration: Jun 10 2018 → Jun 13 2018

Publication series

Name	2018 IEEE Statistical Signal Processing Workshop, SSP 2018

Conference

Conference	20th IEEE Statistical Signal Processing Workshop, SSP 2018
Country/Territory	Germany
City	Freiburg im Breisgau
Period	6/10/18 → 6/13/18

ASJC Scopus Subject Areas

Signal Processing
Instrumentation
Computer Networks and Communications

Keywords

Hyperspectral data
low-rank
regularization
spectral unmixing
tensor decomposition

Access to Document

10.1109/SSP.2018.8450853

Cite this

Imbiriba, T., Borsoi, R. A., & Bermudez, J. C. M. (2018). A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing. In 2018 IEEE Statistical Signal Processing Workshop, SSP 2018 (pp. 11-15). Article 8450853 (2018 IEEE Statistical Signal Processing Workshop, SSP 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSP.2018.8450853

A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing. / Imbiriba, Tales; Borsoi, Ricardo Augusto; Bermudez, Jose Carlos Moreira.
2018 IEEE Statistical Signal Processing Workshop, SSP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 11-15 8450853 (2018 IEEE Statistical Signal Processing Workshop, SSP 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Imbiriba, T, Borsoi, RA & Bermudez, JCM 2018, A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing. in 2018 IEEE Statistical Signal Processing Workshop, SSP 2018., 8450853, 2018 IEEE Statistical Signal Processing Workshop, SSP 2018, Institute of Electrical and Electronics Engineers Inc., pp. 11-15, 20th IEEE Statistical Signal Processing Workshop, SSP 2018, Freiburg im Breisgau, Germany, 6/10/18. https://doi.org/10.1109/SSP.2018.8450853

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title = "A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing",

keywords = "Hyperspectral data, low-rank, regularization, spectral unmixing, tensor decomposition",

author = "Tales Imbiriba and Borsoi, \{Ricardo Augusto\} and Bermudez, \{Jose Carlos Moreira\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 20th IEEE Statistical Signal Processing Workshop, SSP 2018 ; Conference date: 10-06-2018 Through 13-06-2018",

year = "2018",

month = aug,

day = "29",

doi = "10.1109/SSP.2018.8450853",

language = "English",

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Y1 - 2018/8/29

KW - Hyperspectral data

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KW - regularization

KW - spectral unmixing

KW - tensor decomposition

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DO - 10.1109/SSP.2018.8450853

M3 - Conference contribution

AN - SCOPUS:85053857127

SN - 9781538615706

T3 - 2018 IEEE Statistical Signal Processing Workshop, SSP 2018

SP - 11

EP - 15

BT - 2018 IEEE Statistical Signal Processing Workshop, SSP 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 20th IEEE Statistical Signal Processing Workshop, SSP 2018

Y2 - 10 June 2018 through 13 June 2018

ER -

A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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