Interferometric synthetic aperture radar (InSAR) is a powerful remote sensing tool that
enhances information acquisition. During InSAR processing, the phase denoising of the …

This paper addresses the noise filtering problem for synthetic aperture radar (SAR)
interferometric phase images. The phase noise is characterized by an additive noise model …

The authors exploit the interferometric multifrequency potentiality of the SIR-C/X-SAR system
which is equipped with an L-, C-, and X-band sensor. They present a solution to improve the …

This research focused on the application of synthetic aperture and interferometric imaging
concepts to sonar systems. Based on an end-to-end model and simulation of an existing real …

Digital images are often corrupted by Impulse noise due to errors generated in noisy sensor,
errors that occur in the process of converting signals from analog-to-digital and also errors …

In recent years, due to increasing necessity and the rise in agricultural production
worldwide, an efficient, uncomplicated and precise classification mechanism of agricultural …

Radar interferometry has been widely applied in measuring the terrain height and its
changes. The information about surface can be derived from phase interferograms …

A novel noise reduction scheme for synthetic aperture radar (SAR) interferograms based on
the wavelet packet transform (WPT) and the Wiener filter is introduced in this letter. First, by …

The Goldstein-Werner (GW) filter is one of the most widely used methods to suppress noise
in interferometric synthetic aperture radar (InSAR) data. However, the insufficient filtering …

This article proposes an alternative filtering technique to improve interferometric synthetic
aperture radar (InSAR) time series by reducing residual noise while retaining the ground …