Influence of local binary pattern configurations and XGBoost on the quality of satellite image classification with noise and compression: experimental study

• Date: 2026
• Keywords: keywords
• Main Authors: Rybnytskyi, Maksym, Kryvenko, Sergii
• Format: Article
• Language: Ukrainian
• Published: Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine 2026
• Subjects: remote sensing; Sentinel-2 satellite imagery; pixel-wise classification; XGBoost; Local Binary Patterns (LBP); texture analysis; image compression; BPG encoder
• Online Access: https://ujrs.org.ua/ujrs/article/view/303
• Journal Title: Ukrainian Journal of Remote Sensing of the Earth

The paper addresses the relevant task of pixel-wise classification of multispectral satellite images under conditions of critical data quality degradation caused by additive sensor noise and lossy compression artifacts. A method for spatial feature extraction based on Local Binary Patterns (LBP) usi...