Detecting plumes in LWIR using robust nonnegative matrix factorization with graph-based initialization

Jing Qin; Thomas Laurent; Kevin Bui; Ricardo Vicente R. Tan; Jasmine Dahilig; Shuyi Wang; Jared Rohe; Justin Sunu; Andrea L. Bertozzi

doi:10.1117/12.2177342

Detecting plumes in LWIR using robust nonnegative matrix factorization with graph-based initialization

Jing Qin, Thomas Laurent, Kevin Bui, Ricardo Vicente R. Tan, Jasmine Dahilig, Shuyi Wang, Jared Rohe, Justin Sunu, Andrea L. Bertozzi

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

Original language	English
Title of host publication	Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI
Editors	Miguel Velez-Reyes, Fred A. Kruse
Publisher	SPIE
ISBN (Electronic)	9781628415889
DOIs	https://doi.org/10.1117/12.2177342
State	Published - May 21 2015
Event	Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI - Baltimore, United States Duration: Apr 21 2015 → Apr 23 2015

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9472
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI
Country/Territory	United States
City	Baltimore
Period	4/21/15 → 4/23/15

ASJC Scopus Subject Areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Keywords

Data analysis
Hyperspectral images
Image processing
Label propagation
Non-negative matrix factorization
Nyström extension
Robust principal component analysis
Spectral clustering

Access to Document

10.1117/12.2177342

Cite this

Qin, J., Laurent, T., Bui, K., Tan, R. V. R., Dahilig, J., Wang, S., Rohe, J., Sunu, J., & Bertozzi, A. L. (2015). Detecting plumes in LWIR using robust nonnegative matrix factorization with graph-based initialization. In M. Velez-Reyes, & F. A. Kruse (Eds.), Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI Article 94720V (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9472). SPIE. https://doi.org/10.1117/12.2177342

Detecting plumes in LWIR using robust nonnegative matrix factorization with graph-based initialization. / Qin, Jing; Laurent, Thomas; Bui, Kevin et al.
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI. ed. / Miguel Velez-Reyes; Fred A. Kruse. SPIE, 2015. 94720V (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9472).

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

Qin, J, Laurent, T, Bui, K, Tan, RVR, Dahilig, J, Wang, S, Rohe, J, Sunu, J & Bertozzi, AL 2015, Detecting plumes in LWIR using robust nonnegative matrix factorization with graph-based initialization. in M Velez-Reyes & FA Kruse (eds), Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI., 94720V, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9472, SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, Baltimore, United States, 4/21/15. https://doi.org/10.1117/12.2177342

Qin J, Laurent T, Bui K, Tan RVR, Dahilig J, Wang S et al. Detecting plumes in LWIR using robust nonnegative matrix factorization with graph-based initialization. In Velez-Reyes M, Kruse FA, editors, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI. SPIE. 2015. 94720V. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2177342

Qin, Jing ; Laurent, Thomas ; Bui, Kevin et al. / Detecting plumes in LWIR using robust nonnegative matrix factorization with graph-based initialization. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI. editor / Miguel Velez-Reyes ; Fred A. Kruse. SPIE, 2015. (Proceedings of SPIE - The International Society for Optical Engineering).

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Detecting plumes in LWIR using robust nonnegative matrix factorization with graph-based initialization

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

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