In this research, we propose to utilize the newly introduced Multi-population differential
evolution-assisted Harris Hawks Optimization Algorithm (CMDHHO) in the optimization …

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 …

Low-rank modeling has achieved great success in visual data completion. However, the low-
rank assumption of original visual data may be in approximate mode, which leads to …

Synthetic aperture radar (SAR) plays an essential role in earth observation and projection
due to its capability to penetrate clouds, which makes it possible to monitor terrestrial …

Nonlocal self-similarity (NSS) property of natural images, which means that the structure of
the image sub-patches will appear repeatedly within a certain area, has been widely …

Self-supervised pre-trained speech models require significant memory and computational
resources, limiting their applicability to many speech tasks. Unstructured pruning is a …

Cauchy noise, as a typical non-Gaussian noise, appears frequently in many important fields,
such as radar, medical, and biomedical imaging. In this letter, we focus on image recovery …

In this article, we introduce the wavelet energies correlation screening (WECS), an
unsupervised method to detect spatio-temporal changes on multitemporal SAR images. The …

Coherent imaging of synthetic aperture radar (SAR) systems generates multiplicative
speckle noise and severely impairs SAR images' interpretability. Although numerous …

Speckle noise removal is a well-established problem in synthetic aperture radar (SAR)
image processing. Among different methods focused on the reconstruction of SAR images …