Methods and algorithms of computational mathematics and their applications

Improved method of recognizing marine and coastal system objects based on combination of local binary pattern method and neural network technologies

A. I. Sukhinov, D. A. Solomakha

Don State Technical University

Abstract: The work proposes a hybrid model LBP+PSPNet to increase the accuracy of oil spill segmentation on RGB-images of remote sensing of the Earth, especially in conditions of low contrast between pollution and marine background. The model combines local texture feature extraction (LBP) with global context analysis based on Pyramid Scene Parsing Network (PSPNet). LBP enhances the detail of the texture features of oil film, which are often masked by solar flares or small spots. PSPNet provides large-scale image analysis, which allows for the precise segmentation of both large spills and low-level pollution. Experiments showed that LBP integration increases the IoU metric by 4.6

Keywords: PSPNet, LBP, oil spill detection, image segmentation.

UDC: 519.6

Received: 01.08.2025
Accepted: 24.08.2025

DOI: 10.26089/NumMet.v26r324