With the recent advancements in the field of information industry, critical data in the form of
digital images is best understood by the human brain. Therefore, digital images play a …

Statistical analysis of radar clutter has always been one of the topics, where more effort has
been put in the last few decades. These studies were usually focused on finding the …

The mean-shift (MS) algorithm is applied for reducing speckle noise and segmenting
synthetic aperture radar (SAR) images. Two coastal images acquired by Envisat's advanced …

Synthetic aperture radar (SAR) is traditionally used in the identification, mapping and
analysis of petroleum slicks, regardless of their origin. On SAR images, oil slicks appear as …

For better interpretation of synthetic aperture radar (SAR) images, the speckle filtering is an
important issue. In the area of speckle filtering, the proper averaging of samples with similar …

An image is a two-dimensional function with a collection of information and is degraded due
to the occurrence of noises during image acquisition process, transmission & reception …

Speckle noise is an undesired effect in SAR (Synthetic Aperture Radar) images which
degrades their quality. In this paper a filtering technique based on the algorithm “Mean Shift” …

This paper introduces a novel algorithm that combines the Non-Subsampled Contourlet
Transform (NSCT) and morphological operators to reduce the multiplicative noise of …

Synthetic Aperture Radar (SAR) images are inherently affected by multiplicative speckle
noise, which is due to the coherent nature of scattering phenomena. Though a plethora of …

Automatic interpretation of SAR data, especially in coastal images, is extremely difficult due
to speckle noise and its inherent multiplicative nature. In this paper, a speckle reduction …