This paper presents despeckling and information extraction using non-quadratic regularization. The novelty of this paper is that instead of the Gaussian prior model a Gauss-Markov random field model is chosen, because it can efficiently model textures in the images. The iterative procedure consist of noise-free image and texture parameter. The experimental results show that the proposed method ...

Synthetic aperture radar (SAR) imagery from satellites provides a range of data products that can reveal certain aspects of the underwater acoustical environment. Space-based SAR imagery is available in all weather, day or night and has wide area coverage with swaths up to 500 km across. This availability and coverage gives SAR satellite data the potential to enhance acoustic environmental asse...

In order to gain consistent focusing quality all over the imaging region for wide-beam wide-swath airborne synthetic aperture radar (SAR), higher motion compensation (MoCo) accuracy at the edge of the swath is needed. In this letter, an improved MoCo approach is proposed, and its performance is validated by using simulated data, as well as real data collected by a P-band SAR system.

In this paper we propose a method for discrimination of underlying textural structures from spotlight-mode synthetic aperture radar (SAR) returns by using a tomographic data acquisition model as the basis for statistical reasoning. We model the hypothesized textures by statistically self-similar processes and formulate the problem in a hypothesis testing framework in the SAR range profile domai...

The European Space Agency is currently developing Sentinel-1, a constellation of two polar-orbiting C-band radar satellites for operational Synthetic Aperture Radar (SAR) applications. The Sentinel-1 mission is designed for continuous and operational monitoring. The goal is to map the European land mass once every four days in Interferometric Wide Swath (IWS) mode, and the global land surface a...

In this study, we investigated the feasibility of using the C-band European Remote Sensing Satellite (ERS-1) synthetic aperture radar (SAR) data to estimate surface soil roughness in a semiarid rangeland. Radar backscattering coefficients were extracted from a dry and a wet season SAR image and were compared with 47 in situ soil roughness measurements obtained in the rocky soils of the Walnut G...

This paper looks at 3 different types of radar imaging systems; synthetic aperture radar (SAR), through-the-wall radar, and digital holographic near field radar. Each system surveyed experiments that improved the quality of the resulting image. It was found that each radar system has specific problems. The digital holographic near field radar imaging system was studied the closest. Findings rev...

In the last decade, Ground-Based Synthetic Aperture Radar (GB-SAR) systems have gained an increasing interest. Many different applications take advantages of the flexibility and capability of such systems to measure deformations with submillimeter precision, map terrains and monitor landslides and other geological phenomena. In literature different focusing algorithms have been proposed. The ai...

We investigate the effects of phase errors on undersampled synthetic aperture radar (SAR) systems. We show that the standard methods of auto-focus, which are used as a postprocessing step, are typically not suitable. Instead of applying auto-focus as a post-processor we propose using a stable algorithm, which is based on algorithms from the dictionary learning literature, that corrects phase er...

Multichannel synthetic aperture radar (SAR) in azimuth can resolve the contradiction between high resolution and wide swath faced with traditional SAR imaging. However, channel errors will degrade the performance of imaging. This paper compares the performances of four channel error estimation algorithms under different clutter distributions and SNR conditions. Further, explanations are given f...