Persistence of the applicability of information from orbital SAR images in aerial surveillance and reconnaissance missions:
an analysis through Monte Carlo simulation
DOI:
https://doi.org/10.55972/spectrum.v23i1.383Keywords:
Satelital Remote Sensing, Maritime Patrol, Simulation, Monte Carlo Method, SAR ImageAbstract
SAR satellites provide a lot of data to support the planning of maritime patrol missions, but due to the temporal resolution of such surveillance means and the dynamism inherent to the maritime scenario, this data can become inaccurate within a few hours. This work proposes a computational solution that probabilistically updates this scenario by projecting the position of the targets hours ahead, considering different reaction times of the surveillance means. For that, the movement of each contact is modeled through probability distributions that represent its expected behavior and an updated scenario is designed using the Monte Carlo method. It is concluded that the use of this methodology allows analyzing the persistence of the applicability of the information collected and even points to operational opportunities for use in situations of electronic silence.
References
Brasil, Ministério da Defesa, Decreto Legislativo no 373, de 25 de setembro de 2013 (aprova a Política Nacional de Defesa, a Estratégia Nacional de Defesa e o Livro Branco de Defesa Nacional). Brasil: Ministério da Defesa, 2012, p. 155.
M. J. H. B. Grob, “Routing of platforms in a maritime surface surveillance operation,” Eur. J. Oper. Res., vol. 170, no. 2, pp. 613–628, 2006.
M. S. M. Costa and D. Fernandes, “Análise do emprego de uma constelação de pequenos satélites SAR em vigilância marítima,” XVI Simpósio Apl. Operacionais em Áreas Def. - XVI SIGE, pp. 90–95, 2014.
J. C. de Melo Junior, M. C. N. Belderrain, M. M. De Marchi, e D. Geraldo, “Otimização de scheduling de tarefas para satélite de observação da Terra”, Spectrum, vol. 21, nº 1, p. 16–21, jul. 2020.
A. Negrão Costa, R. Lemos Paes, M. Zawadzki, e D. Geraldo, “Análise de cenários como uma ferramenta de apoio à decisão: estudo de caso em patrulha marítima”, Spectrum, vol. 22, nº 1, p. 30–34, set. 2021.
BRASIL, Ministério da Defesa, and Comando da Aeronáutica, DCA 11-45 Concepção Estratégica Força Aérea 100. Brasil: Comando da Aeronaútica, 2016.
R. L. Paes, J. A. Lorenzzetti, and D. F. M. Gherardi, “Patrulha marítima apoiada por técnicas de extração de informações de dados de satélites,” Simpósio Guerr. Eletrônica (SIGE), 2006.
T. Eriksen, G. Hoye, B. Narheim, and B. J. Meland, “Maritime traffic monitoring using a space-based AIS receiver,” Acta Astronaut., vol. 58, no. 10, pp. 537–549, 2006.
J. L. Devore, Probability and Statistics for Engineering and the Sciences, 7th ed. California, 2007.
L. M. Leemis and J. T. McQueston, “Univariate distribution relationships,” Am. Stat., vol. 62, no. 1, pp. 45–53, 2008.
R. L. Paes, J. A. Lorenzzetti, and D. F. M. Gherardi, “Ship detection using TerraSAR-X images in the Campos Basin (Brazil)”, IEEE Geosci. Remote Sens. Lett., vol. 7, no. 3, pp. 545–548, 2010.
S. Jiang, C. Wang, H. Zhang, F. Wu, and B. Zhang, “Civilian ship classification based on structure features in high resolution SAR images,” vol. 8525, p. 852505, 2012.
L. Entringer Falqueto, R. Lemos Paes, e A. Passaro, “A importância de dados polarimétricos para detecção de alvos artificiais no mar utilizando imagens SAR”, Spectrum, vol. 22, nº 1, p. 53–58, set. 2021.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2022 Leonan Entringer Falqueto, André Negrão Costa, Diego Geraldo, Rafael Lemos Paes
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
