Researchers Introduce MERLIN For Training Despeckling Deep Neural Network-Based Models

Synthetic Aperture Radar (SAR) is an imaging technique that uses a resolution-limited radar system to produce fine-resolution 2D or 3D images. It's frequently used to gather photos of landscapes or object reconstructions that can be utilized to produce millimeter-to-centimeter scale models of Earth's or other planets' surfaces. When a highly coherent light beam is diffusely reflected on a rough surface, it produces the speckle pattern, a random granular effect. This causes significant changes in the images obtained using SAR techniques, which can impair the quality and interpretability of the images. Many studies are investigating the use of deep neural network-based algorithms to increase the quality and reliability of SAR data by lessening the speckle effect.