A non-Gaussian probability analysis from the sea glitter pattern

Claudia A. Vidales-Basurto; Josué Álvarez-Borrego; José L. Poom-Medina

doi:10.1063/1.4968669

A non-Gaussian probability analysis from the sea glitter pattern

Claudia A. Vidales-Basurto, Josué Álvarez-Borrego, José L. Poom-Medina

Departamento de Física

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

Variances and correlations functions considering a non-Gaussian probability density function of the image intensity versus the surface slope, using Rect and Gaussian glitter functions, were calculated. The 1-D case for a variable detector line of sight angle and detector height was analyzed. The results showed a similar behavior of the curves for both glitter functions with a considerably higher values for the variances of the intensities of the image in the Rect glitter function because the Gaussian glitter function contains less energy.

Idioma original	Inglés
Título de la publicación alojada	International Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016
Editores	Zacharoula Kalogiratou, Theodore E. Simos, Theodore Monovasilis, Theodore E. Simos, Theodore E. Simos
Editorial	American Institute of Physics Inc.
ISBN (versión digital)	9780735414549
DOI	https://doi.org/10.1063/1.4968669
Estado	Publicada - 6 dic. 2016
Evento	International Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016 - Athens, Grecia Duración: 17 mar. 2016 → 20 mar. 2016

Serie de la publicación

Nombre	AIP Conference Proceedings
Volumen	1790
ISSN (versión impresa)	0094-243X
ISSN (versión digital)	1551-7616

Conferencia

Conferencia	International Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016
País/Territorio	Grecia
Ciudad	Athens
Período	17/03/16 → 20/03/16

Nota bibliográfica

Publisher Copyright:
© 2016 Author(s).

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10.1063/1.4968669

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Vidales-Basurto, C. A., Álvarez-Borrego, J., & Poom-Medina, J. L. (2016). A non-Gaussian probability analysis from the sea glitter pattern. En Z. Kalogiratou, T. E. Simos, T. Monovasilis, T. E. Simos, & T. E. Simos (Eds.), International Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016 Artículo 040005 (AIP Conference Proceedings; Vol. 1790). American Institute of Physics Inc.. https://doi.org/10.1063/1.4968669

Vidales-Basurto, Claudia A. ; Álvarez-Borrego, Josué ; Poom-Medina, José L. / A non-Gaussian probability analysis from the sea glitter pattern. International Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016. editor / Zacharoula Kalogiratou ; Theodore E. Simos ; Theodore Monovasilis ; Theodore E. Simos ; Theodore E. Simos. American Institute of Physics Inc., 2016. (AIP Conference Proceedings).

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title = "A non-Gaussian probability analysis from the sea glitter pattern",

abstract = "Variances and correlations functions considering a non-Gaussian probability density function of the image intensity versus the surface slope, using Rect and Gaussian glitter functions, were calculated. The 1-D case for a variable detector line of sight angle and detector height was analyzed. The results showed a similar behavior of the curves for both glitter functions with a considerably higher values for the variances of the intensities of the image in the Rect glitter function because the Gaussian glitter function contains less energy.",

author = "Vidales-Basurto, {Claudia A.} and Josu{\'e} {\'A}lvarez-Borrego and Poom-Medina, {Jos{\'e} L.}",

note = "Publisher Copyright: {\textcopyright} 2016 Author(s).; International Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016 ; Conference date: 17-03-2016 Through 20-03-2016",

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language = "Ingl{\'e}s",

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Vidales-Basurto, CA, Álvarez-Borrego, J & Poom-Medina, JL 2016, A non-Gaussian probability analysis from the sea glitter pattern. En Z Kalogiratou, TE Simos, T Monovasilis, TE Simos & TE Simos (eds.), International Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016., 040005, AIP Conference Proceedings, vol. 1790, American Institute of Physics Inc., International Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016, Athens, Grecia, 17/03/16. https://doi.org/10.1063/1.4968669

A non-Gaussian probability analysis from the sea glitter pattern. / Vidales-Basurto, Claudia A.; Álvarez-Borrego, Josué; Poom-Medina, José L.
International Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016. ed. / Zacharoula Kalogiratou; Theodore E. Simos; Theodore Monovasilis; Theodore E. Simos; Theodore E. Simos. American Institute of Physics Inc., 2016. 040005 (AIP Conference Proceedings; Vol. 1790).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - A non-Gaussian probability analysis from the sea glitter pattern

AU - Vidales-Basurto, Claudia A.

AU - Álvarez-Borrego, Josué

AU - Poom-Medina, José L.

PY - 2016/12/6

Y1 - 2016/12/6

N2 - Variances and correlations functions considering a non-Gaussian probability density function of the image intensity versus the surface slope, using Rect and Gaussian glitter functions, were calculated. The 1-D case for a variable detector line of sight angle and detector height was analyzed. The results showed a similar behavior of the curves for both glitter functions with a considerably higher values for the variances of the intensities of the image in the Rect glitter function because the Gaussian glitter function contains less energy.

AB - Variances and correlations functions considering a non-Gaussian probability density function of the image intensity versus the surface slope, using Rect and Gaussian glitter functions, were calculated. The 1-D case for a variable detector line of sight angle and detector height was analyzed. The results showed a similar behavior of the curves for both glitter functions with a considerably higher values for the variances of the intensities of the image in the Rect glitter function because the Gaussian glitter function contains less energy.

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U2 - 10.1063/1.4968669

DO - 10.1063/1.4968669

M3 - Contribución a la conferencia

AN - SCOPUS:85008709448

T3 - AIP Conference Proceedings

BT - International Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016

A2 - Kalogiratou, Zacharoula

A2 - Simos, Theodore E.

A2 - Monovasilis, Theodore

A2 - Simos, Theodore E.

PB - American Institute of Physics Inc.

T2 - International Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016

Y2 - 17 March 2016 through 20 March 2016

ER -

Vidales-Basurto CA, Álvarez-Borrego J, Poom-Medina JL. A non-Gaussian probability analysis from the sea glitter pattern. En Kalogiratou Z, Simos TE, Monovasilis T, Simos TE, Simos TE, editores, International Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016. American Institute of Physics Inc. 2016. 040005. (AIP Conference Proceedings). doi: 10.1063/1.4968669

A non-Gaussian probability analysis from the sea glitter pattern

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