Automatic registration of optical and synthetic aperture radar (SAR) images is one of the
most challenging tasks due to the influence of speckle noise and nonlinear radiation …

Small area change detection using synthetic aperture radar (SAR) imagery is a highly
challenging task, due to speckle noise and imbalance between classes (changed and …

Synthetic aperture radar (SAR) images often interfere with speckle artifacts that have a great
impact on subsequent processing and analysis operations. To remove speckle artifacts, this …

Timely identifying and detecting water bodies from SAR images are significant for flood
monitoring and water resources management. In recent decades, deep learning has been …

The integration of Synthetic Aperture Radar (SAR) and optical imagery through image fusion
techniques is important in refining the accuracy and interpretability of images in remote …

Synthetic Aperture Radar (SAR) produces high resolution, day & night and weather
independent images which provide crucial qualitative and quantitative information required …

Radar imaging has many advantages. Meanwhile, SAR images suffer from a noise-like
phenomenon called speckle. Many despeckling methods have been proposed to date but …

Background Flooding is considered to be one of the most important factors contributing to
the rebound of Oncomelania hupensis, a small tropical freshwater snail and the only …

The joint interpretation of hyperspectral images (HSIs) and light detection and ranging
(LiDAR) data has developed rapidly in recent years due to continuously evolving image …

Speckle noise exists inherently in the synthetic aperture radar (SAR) image. Its multiplicative
property leads to lots of difficulties in SAR image processing. A novel guidance-aided triple …