CT imaging is widely used in medical science over the last decades. The process of CT
image reconstruction depends on many physical measurements such as radiation dose …

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 …

Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …

Recent advances in spectral-spatial classification of hyperspectral images are presented in
this paper. Several techniques are investigated for combining both spatial and spectral …

Speckle is a granular disturbance, usually modeled as a multiplicative noise, that affects
synthetic aperture radar (SAR) images, as well as all coherent images. Over the last three …

Speckle noise is an inherent problem in coherent imaging systems such as synthetic
aperture radar. It creates strong intensity fluctuations and hampers the analysis of images …

Image denoising is an important problem in image processing since noise may interfere with
visual or automatic interpretation. This paper presents a new approach for image denoising …

The method of speckle reduction is widely used in synthetic aperture radar (SAR) imagery
over the last three decades. The SAR images are inherently speckled in nature. Speckle …

Ship detection is one of important applications for synthetic aperture radar (SAR). Speckle
effects usually make SAR image understanding difficult and speckle reduction becomes a …

Speckle reduction is a longstanding topic in synthetic aperture radar (SAR) imaging. Since
most current and planned SAR imaging satellites operate in polarimetric, interferometric, or …