A MATLAB toolbox for hyperspectral image analysis

Emmanuel Arzuaga-Cruz; Luis O. Jimenez-Rodriguez; Miguel Velez-Reyes; David Kaeli; Eladio Rodriguez-Diaz; Hector T. Velazquez-Santana; Alexey Castrodad-Carrau; Laura E. Santos-Campis; Cesar Santiago

A MATLAB toolbox for hyperspectral image analysis

Emmanuel Arzuaga-Cruz
, Luis O. Jimenez-Rodriguez
, Miguel Velez-Reyes
, David Kaeli
, Eladio Rodriguez-Diaz
, Hector T. Velazquez-Santana
, Alexey Castrodad-Carrau
, Laura E. Santos-Campis
, Cesar Santiago

Lab. Appl. Remote Sensing Image P.
Ctr. Subsurface Sensing Imaging S
Univ. Puerto Rico at Mayagüez
Northeastern University

Producción: Contribución a una conferencia › Paper › revisión exhaustiva

23 Citas (Scopus)

Resumen

The Hyperspectral Image Analysis (HIA) Toolbox is a collection of algorithms that extend the capability of the MATLAB numerical computing environment for the processing of hyperspectral and multispectral imagery. The purpose of the HIA Toolbox is to provide information extraction algorithms to users of hyperspectral and multispectral imagery in environmental and biomedical applications. The HIA toolbox has been developed as part of the NSF Center for Subsurface Sensing and Imaging (CenSSIS) Solutionware that seeks to develop a repository of reliable and reusable software tools that can be shared by researchers across research domains. The HIA toolbox provides easy access to supervised and unsupervised classification algorithms developed at LARSIP over the last 8 years.

Idioma original	Inglés
Páginas	4839-4842
Número de páginas	4
Estado	Publicada - 2004
Publicado de forma externa	Sí
Evento	2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, Estados Unidos Duración: 20 sept 2004 → 24 sept 2004

Conferencia

Conferencia	2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
País/Territorio	Estados Unidos
Ciudad	Anchorage, AK
Período	20/09/04 → 24/09/04

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Arzuaga-Cruz, E., Jimenez-Rodriguez, L. O., Velez-Reyes, M., Kaeli, D., Rodriguez-Diaz, E., Velazquez-Santana, H. T., Castrodad-Carrau, A., Santos-Campis, L. E., & Santiago, C. (2004). A MATLAB toolbox for hyperspectral image analysis. 4839-4842. Papel presentado en 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, Estados Unidos.

@conference{bbbc2e20b5204232b43a977fa0f8124b,

title = "A MATLAB toolbox for hyperspectral image analysis",

abstract = "The Hyperspectral Image Analysis (HIA) Toolbox is a collection of algorithms that extend the capability of the MATLAB numerical computing environment for the processing of hyperspectral and multispectral imagery. The purpose of the HIA Toolbox is to provide information extraction algorithms to users of hyperspectral and multispectral imagery in environmental and biomedical applications. The HIA toolbox has been developed as part of the NSF Center for Subsurface Sensing and Imaging (CenSSIS) Solutionware that seeks to develop a repository of reliable and reusable software tools that can be shared by researchers across research domains. The HIA toolbox provides easy access to supervised and unsupervised classification algorithms developed at LARSIP over the last 8 years.",

keywords = "Hyperspectral, Image analysis, Supervised classification, Unsupervised classificaton",

author = "Emmanuel Arzuaga-Cruz and Jimenez-Rodriguez, \{Luis O.\} and Miguel Velez-Reyes and David Kaeli and Eladio Rodriguez-Diaz and Velazquez-Santana, \{Hector T.\} and Alexey Castrodad-Carrau and Santos-Campis, \{Laura E.\} and Cesar Santiago",

year = "2004",

language = "English",

pages = "4839--4842",

note = "2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 ; Conference date: 20-09-2004 Through 24-09-2004",

}

Arzuaga-Cruz, E, Jimenez-Rodriguez, LO, Velez-Reyes, M, Kaeli, D, Rodriguez-Diaz, E, Velazquez-Santana, HT, Castrodad-Carrau, A, Santos-Campis, LE & Santiago, C 2004, 'A MATLAB toolbox for hyperspectral image analysis', Papel presentado en 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, Estados Unidos, 20/09/04 - 24/09/04 pp. 4839-4842.

A MATLAB toolbox for hyperspectral image analysis. / Arzuaga-Cruz, Emmanuel; Jimenez-Rodriguez, Luis O.; Velez-Reyes, Miguel et al.
2004. 4839-4842 Papel presentado en 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, Estados Unidos.

Producción: Contribución a una conferencia › Paper › revisión exhaustiva

TY - CONF

T1 - A MATLAB toolbox for hyperspectral image analysis

AU - Arzuaga-Cruz, Emmanuel

AU - Jimenez-Rodriguez, Luis O.

AU - Velez-Reyes, Miguel

AU - Kaeli, David

AU - Rodriguez-Diaz, Eladio

AU - Velazquez-Santana, Hector T.

AU - Castrodad-Carrau, Alexey

AU - Santos-Campis, Laura E.

AU - Santiago, Cesar

PY - 2004

Y1 - 2004

N2 - The Hyperspectral Image Analysis (HIA) Toolbox is a collection of algorithms that extend the capability of the MATLAB numerical computing environment for the processing of hyperspectral and multispectral imagery. The purpose of the HIA Toolbox is to provide information extraction algorithms to users of hyperspectral and multispectral imagery in environmental and biomedical applications. The HIA toolbox has been developed as part of the NSF Center for Subsurface Sensing and Imaging (CenSSIS) Solutionware that seeks to develop a repository of reliable and reusable software tools that can be shared by researchers across research domains. The HIA toolbox provides easy access to supervised and unsupervised classification algorithms developed at LARSIP over the last 8 years.

AB - The Hyperspectral Image Analysis (HIA) Toolbox is a collection of algorithms that extend the capability of the MATLAB numerical computing environment for the processing of hyperspectral and multispectral imagery. The purpose of the HIA Toolbox is to provide information extraction algorithms to users of hyperspectral and multispectral imagery in environmental and biomedical applications. The HIA toolbox has been developed as part of the NSF Center for Subsurface Sensing and Imaging (CenSSIS) Solutionware that seeks to develop a repository of reliable and reusable software tools that can be shared by researchers across research domains. The HIA toolbox provides easy access to supervised and unsupervised classification algorithms developed at LARSIP over the last 8 years.

KW - Hyperspectral

KW - Image analysis

KW - Supervised classification

KW - Unsupervised classificaton

UR - https://www.scopus.com/pages/publications/15944417873

M3 - Paper

AN - SCOPUS:15944417873

SP - 4839

EP - 4842

T2 - 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004

Y2 - 20 September 2004 through 24 September 2004

ER -

A MATLAB toolbox for hyperspectral image analysis

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