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Detección óptica en 3D de un objeto flotante en una superficie marina agitada
Author(s) -
Ana Karen Paredes-Perez,
Víctor Golikov,
Hussain Alazki
Publication year - 2020
Publication title -
revista de la invención técnica
Language(s) - English
Resource type - Journals
ISSN - 2523-6792
DOI - 10.35429/joti.2020.14.4.7.16
Subject(s) - subspace topology , detector , a priori and a posteriori , false alarm , object detection , object (grammar) , matlab , computer science , gaussian , optics , statistical power , surface (topology) , process (computing) , algorithm , artificial intelligence , mathematics , statistics , physics , pattern recognition (psychology) , geometry , philosophy , epistemology , quantum mechanics , operating system
In this paper we realize a comparison between two detectors: Matched Subspace Detector (MSD) and Modify Matched Subspace Detector (MMSD) when there is a images secuence (3D detection), where the parameters of sea surface and the parameters of floating object are priori unknown in computer simulation, with help of computer software MATLAB. Both detectors (MSD and MMSD) are based in the General Likelihood Ratio Test (GLRT); this method helps solve detection problems when the sea surface and floating object parameters are unknown. The sea surface is simulated as a Gaussian random process, and the floating object is simulated as a priori unknown deterministic process. The paper considers the dependence of the probability of detection with a fixed probability of false alarm on the difference between the average values of reflections from the sea surface and from a floating object with different ratios of the power of fluctuations of reflections from the object and from the sea Surface.

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