Extreme learning machine (ELM) has been developed for single hidden layer feedforward
neural networks (SLFNs). In ELM algorithm, the connections between the input layer and the …

Synthetic aperture radar (SAR), due to its inherent characteristics, will produce speckle
noise, which results in the deterioration of image quality, so the removal of speckle in SAR …

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 …

Remarkable effectiveness has been demonstrated by deep neural networks in the
despeckling task for synthetic aperture radar (SAR) images. However, blurring and loss of …

How to suppress speckle noise effectively has become one of the key problems in remote
sensing image processing. This problem also restricts the development of key technology …

Coherent noise often interferes with synthetic aperture radar (SAR), which has a huge
impact on subsequent processing and analysis. This paper puts forward a novel algorithm …

Synthetic aperture radar (SAR) images are mainly corrupted by speckle noise, which needs
to be removed for further processing. In this letter, we propose an attention and gradient …

Coherent imaging systems are greatly affected by speckle noise, which makes visual
analysis and features extraction a difficult task. In this paper, we propose a speckle …

To get a better fused performance in the multi-focus image fusion based on a transform
domain, a new multi-focus image algorithm combined with the adaptive dual-channel …

Removal of speckle noise from Real SAR images is a significant task for the better
segmentation, target detection, target recognition or other processing. In this paper, a novel …