Maximum auto-mutual-information factor analysis

Allan Aasbjerg Nielsen

doi:10.1117/12.2278290

Maximum auto-mutual-information factor analysis

Allan Aasbjerg Nielsen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Based on the information theoretical measure mutual information derived from entropy and Kullback-Leibler divergence, an alternative to maximum autocorrelation factor analysis is sketched.

Original language	English
Title of host publication	Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII
Number of pages	2
Volume	10427
Publisher	SPIE - International Society for Optical Engineering
Publication date	2017
DOIs	https://doi.org/10.1117/12.2278290
Publication status	Published - 2017
Event	SPIE Remote Sensing 2017 - DoubleTree Hilton Hotel & Conference Centre, Warsaw, Poland Duration: 11 Sept 2017 → 14 Sept 2017 http://spie.org/spieremotesensing

Conference

Conference	SPIE Remote Sensing 2017
Location	DoubleTree Hilton Hotel & Conference Centre
Country/Territory	Poland
City	Warsaw
Period	11/09/2017 → 14/09/2017
Internet address	http://spie.org/spieremotesensing

Series	Proceedings of SPIE - The International Society for Optical Engineering
ISSN	0277-786X

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title = "Maximum auto-mutual-information factor analysis",

abstract = "Based on the information theoretical measure mutual information derived from entropy and Kullback-Leibler divergence, an alternative to maximum autocorrelation factor analysis is sketched.",

author = "Nielsen, {Allan Aasbjerg}",

year = "2017",

doi = "10.1117/12.2278290",

language = "English",

volume = "10427",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE - International Society for Optical Engineering",

booktitle = "Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII",

note = "SPIE Remote Sensing 2017 ; Conference date: 11-09-2017 Through 14-09-2017",

url = "http://spie.org/spieremotesensing",

}

Nielsen, AA 2017, Maximum auto-mutual-information factor analysis. in Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII. vol. 10427, SPIE - International Society for Optical Engineering, Proceedings of SPIE - The International Society for Optical Engineering, SPIE Remote Sensing 2017, Warsaw, Poland, 11/09/2017. https://doi.org/10.1117/12.2278290

Maximum auto-mutual-information factor analysis. / Nielsen, Allan Aasbjerg.
Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII. Vol. 10427 SPIE - International Society for Optical Engineering, 2017. (Proceedings of SPIE - The International Society for Optical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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PY - 2017

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N2 - Based on the information theoretical measure mutual information derived from entropy and Kullback-Leibler divergence, an alternative to maximum autocorrelation factor analysis is sketched.

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U2 - 10.1117/12.2278290

DO - 10.1117/12.2278290

M3 - Article in proceedings

VL - 10427

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII

PB - SPIE - International Society for Optical Engineering

T2 - SPIE Remote Sensing 2017

Y2 - 11 September 2017 through 14 September 2017

ER -

Maximum auto-mutual-information factor analysis

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