Predicting Filtered Image Quality Using Transfer Learning on Sentinel-1 Speckle Noise with DenseNet-121

• Date: 2025
• Main Authors: Al-Senaikh, Raed, Rubel, Oleksii
• Format: Article
• Language: English
• Published: Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine 2025
• Subjects: Speckle noise; Sentinel-1; image quality metrics; DenseNet-121; transfer learning
• Online Access: https://ujrs.org.ua/ujrs/article/view/293
• Journal Title: Ukrainian Journal of Remote Sensing of the Earth

Speckle noise inherent to synthetic aperture radar (SAR) imagery degrades image quality and complicates automated analysis in Earth observation applications. Quantitative assessment of despeckling results requires computing quality metrics against reference images, which are unavailable in operation...