A non-Gaussian probability analysis from the sea glitter pattern

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationInternational Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016
EditorsZacharoula Kalogiratou, Theodore E. Simos, Theodore Monovasilis, Theodore E. Simos, Theodore E. Simos
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735414549
DOIs
StatePublished - 6 Dec 2016
EventInternational Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016 - Athens, Greece
Duration: 17 Mar 201620 Mar 2016

Publication series

NameAIP Conference Proceedings
Volume1790
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceInternational Conference of Computational Methods in Sciences and Engineering 2016, ICCMSE 2016
Country/TerritoryGreece
CityAthens
Period17/03/1620/03/16

Bibliographical note

Publisher Copyright:
© 2016 Author(s).

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