We look into Generative Adversarial Network (GAN), its prevalent variants and applications
in a number of sectors. GANs combine two neural networks that compete against one …

Remote sensing provides valuable information about objects and areas from a distance in
either active (eg, radar and lidar) or passive (eg, multispectral and hyperspectral) modes …

Speckle reduction is a key step in many remote sensing applications. By strongly affecting
synthetic aperture radar (SAR) images, it makes them difficult to analyze. Due to the difficulty …

Information extraction from synthetic aperture radar (SAR) images is heavily impaired by
speckle noise, and hence, despeckling is a crucial preliminary step in scene analysis …

Speckle is a type of multiplicative noise that affects all coherent imaging modalities including
synthetic aperture radar (SAR) images. The presence of speckle degrades the image quality …

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 …

Speckle fluctuations seriously limit the interpretability of synthetic aperture radar (SAR)
images. Speckle reduction has thus been the subject of numerous works spanning at least …

Synthetic aperture radar (SAR) images are affected by a spatially correlated and signal-
dependent noise called speckle, which is very severe and may hinder image exploitation …

Forward-looking sonar (FLS) imagery system plays a significant role in oceanic object
recognition and detection since it can overcome the limitation of lighting conditions and …

Military, agricultural, and urban planning have all made extensive use of SAR/ISAR in the
realm of remote sensing. SAR/ISAR images are more capable of identifying the details of the …