Detection of Multi-Pixel Low Contrast Object on a Real Sea Surface

Victor Golikov, Oleg Samovarov, Daria Chernomorets and Marco Rodriguez-Blanco
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Victor Golikov: Faculty of Engineering, Autonomous Carmen University (UNACAR), Ciudad del Carmen 24180, Mexico
Oleg Samovarov: Department of Physics, Ivannikov Institute for System Programming of the Russian Academy of Sciences, 109004 Moscow, Russia
Daria Chernomorets: Federal State Autonomous Educational Institution of Higher Education, Belgorod National Research University, 308015 Belgorod, Russia
Marco Rodriguez-Blanco: Faculty of Engineering, Autonomous Carmen University (UNACAR), Ciudad del Carmen 24180, Mexico

Mathematics, 2022, vol. 10, issue 3, 1-11

Abstract: Video images captured at long range often show low-contrast floating objects of interest on a sea surface. A comparative experimental study of the statistical characteristics of reflections from floating objects and from the agitated sea surface showed differences in the correlation and spectral characteristics of these reflections. The functioning of the recently proposed modified matched subspace detector (MMSD) is based on the separation of the observed data spectrum on two subspaces: relatively low and relatively high frequencies. In the literature, the MMSD performance has been evaluated in general and using only a sea model (i.e., additive Gaussian background clutter). This paper extends the performance evaluating methodology for low contrast object detection using only a real sea dataset. The methodology assumes an object of low contrast if the mean and variance of the object and the surrounding background are the same. The paper assumes that the energy spectrum of the object and the sea are different. The paper investigates a scenario in which an artificially created model of a floating object with specified statistical parameters is placed on the surface of a real sea image. The paper compares the efficiency of the classical matched subspace detector (MSD) and MMSD for detecting low-contrast objects on the sea surface. The article analyzes the dependence of the detection probability at a fixed false alarm probability on the difference between the statistical means and variances of a floating object and the surrounding sea.

Keywords: real sea surface; object detection; performance detection (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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