Estimating the Obstructed Portion of the Night Sky Using Digital Image Processing

Felipe Alexandre da Silva

Grupo de Pesquisa em Matemática Científica e Computacional (GPMCC), Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP), São José dos Campos, SP, Brazil.

Vinicius Daniel dos Reis de Castro

Grupo de Pesquisa em Matemática Científica e Computacional (GPMCC), Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP), São José dos Campos, SP, Brazil.

Marcos William da Silva Oliveira

Grupo de Pesquisa em Matemática Científica e Computacional (GPMCC), Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP), São José dos Campos, SP, Brazil.

Lucas Antonio Caritá *

Grupo de Pesquisa em Matemática Científica e Computacional (GPMCC), Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP), São José dos Campos, SP, Brazil.

Irapuan Rodrigues

Universidade do Vale do Paraíba (UNIVAP), São José dos Campos, SP, Brazil.

Francisco Carlos Rocha Fernandes

Faculdade de Tecnologia de Bauru (FATEC), Bauru, SP, Brazil.

*Author to whom correspondence should be addressed.


Abstract

Determining the portion obscured by clouds in the night sky recorded in an image from a meteor monitoring station can be useful to help in the discussion and analysis of studies in this area. Thereby, this work presents a proposal to quantitatively measure the proportion of the night sky covered by clouds from images of meteor records. The images used are from EXOSS database, particularly from the UVP1 and UVP2 stations. Two approaches were elaborated: the first one computes the proportion of pixels in clouds over the total number of pixels, the second approach calculates another percentage value by using image processing techniques and applying an equalization method. An application was created to perform the calculations in an automated way. The program displays an enhanced image and the two calculated percentages and can be used for specialists as a tool to guide their choice of coverage values. The results showed that the second approach proves to be better for “many” and “few” clouds; furthermore, the first approach proves to be better in low cloud density images.

Keywords: Image processing, meteor monitoring, meteor shower, EXOSS


How to Cite

Silva , F. A. da, Castro , V. D. dos R. de, Oliveira , M. W. da S., Caritá , L. A., Rodrigues , I., & Fernandes , F. C. R. (2023). Estimating the Obstructed Portion of the Night Sky Using Digital Image Processing. Asian Journal of Mathematics and Computer Research, 30(2), 1–8. https://doi.org/10.56557/ajomcor/2023/v30i28232

Downloads

Download data is not yet available.

References

Silva RCA, Pimentel GAJ, Fernandes FCR, Caritá LA, Rodrigues I. Statistics of South Delta-Aquariids (SDA) meteor showers registered at UNIVAP in 2017 and 2018, Revista Brasileira de Ensino de Física. 2019;41.

da Silva FA, de Castro VD, da Silva Oliveira MW, Caritá LA. Estimating the Obstructed Portion of the Night Sky. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. 2022;9(1).

Brown P. On the cause and nature of error in zenithal hourly rates, WGN, Journal of the International Meteor Organization. 1990;18:141–145.

Fernandes FCR, Caritá LA, Rodrigues I, Pimentel GJA, Silva RCA, Matos PB, Castro VDR, Oliveira JC. Southern delta Aquariids (SDA) meteor shower registered by UNIVAP stations in the triennium 2017, 2018 and 2019, WGN, Journal of the International Meteor Organization. 2020;48(6): 173–180.

Johannink C, Miskotte K. Results for the Aquariid-expedition to Namibia, July 2012, WGN, Journal of the International Meteor Organization. 2012;40:65–68.

Borovička J, Spurný P, Shrbený L, Štork R, Kotková L, Fuchs J, J. Keclíková, H. Zichová, J. Mánek, P. Váchová, I. Macourková, J. Svoreň, H. Mucke, Data on 824 fireballs observed by the digital cameras of the European Fireball Network in 2017–2018, Astronomy & Astrophysics, 2022;667.

Matlovič1 P, Kornoš1 L, Kováčová1 M, Tóth J, Licandro J. Characterization of the June epsilon Ophiuchids meteoroid stream and the comet 300P/Catalina , Astronomy & Astrophysics. 2020;636.

Cazorla A, Husillos C, Antón M, Alados-Arboledas L. Multi-exposure adaptive threshold technique for cloud detection with sky imagers, Solar Energy. 2015;144: 267-277.

Dev S, Savoy FM, Lee YH, Winkler S. Estimation of solar irradiance using ground-based whole sky imagers. In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2016;7236-7239.

Bradski G. The OpenCV Library, Dr. Dobb’s Journal of Software Tools. 2000;25(11): 120–123.

de Cicco M, Lazzaro D, Santiago EP, Exoss Team. Brazilian video monitoring meteors network EXOSS: Status and first results—a citizen science project, in Proceedings of the International Meteor Conference (M. Gyssens and J.-L. Rault, eds.). 2018;162–164.

Reza AM. Realization of the contrast limited adaptive histogram equalization (clahe) for real-time image enhancement, Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology. 2004;38( 1):35–44,.

Otsu N. A threshold selection method from gray-level histograms, IEEE Transactions on Systems, Man, and Cybernetics. 1979 ;9 (1):62–66.