The Synthetic Aperture Radar (SAR) images are important application of optical satellite images because of its ability to operate in any weather conditions. This has applications in agriculture, geology, ecology, hydrology, oceanography and military, etc. With the improvement of SAR technology, the resolution of the images has increased. These images are corrupted by a strong noise, called Spec...

Fully polarimetric Synthetic Aperture Radar (polSAR) data analysis has wide applications for terrain and ground cover classification. SAR technology, due to its high spatial resolution and soil penetration capability, is a good choice to identify problematic areas on earthen levees. In this paper, using the entropy (H), alpha angle ( ), and eigenvalue parameters (λ), we implemented several unsu...

In this paper, we analyze synthetic aperture radar (SAR) interferograms derived from Envisat radar data. Use of interferograms from both ascending and descending satellite passes enables us to indicate regions of surface and near-surface slip which is used to modeling procedure. Also we used azimuth offset (AZO) data as additional data. This is horizontal displacement information for earthquake...

A novel method of Synthetic Aperture Radar (SAR) image despeckling using the contourlet transform representation is presented. Justification for the use of the contourlet signal representation, originally developed for natural images, is given. Methods of evaluating the despeckling performance of various algorithms are provided. Finally, a comparison of performance of multilook processing, wave...

The Wenchuan Earthquake on May 12, 2008, devastated a vast area in Sichuan, China. The swift rescue and disaster management measures of the Chinese government have been supported by radar remote sensing from the very beginning. The new high-resolution synthetic aperture radar (SAR) satellites, like COSMO-SkyMed and TerraSAR-X, have been used for damage assessment and rapid mapping. Unfortunatel...

This paper is based on the glimpse of a comparative analysis of image edge enhancement techniques of synthetic aperture radar (SAR) images. The importance of edge enhancement is very much significant for SAR image recognition and other purposes. The first portion of this paper is based on a novel edge enhancement algorithm based on 2D wavelet transform. This method also signifies the motive to ...

We present a new deblurring procedure on images provided by low-resolution synthetic aperture radar (SAR) or simply by multimedia in presence of multiplicative (speckle) or additive noise, respectively. The method we propose is defined as a two-step process. First, we use an original technique for noise reduction in wavelet domain. Then, the learning of a Kohonen self-organizing map (SOM) is pe...

Transform coding based on the Karhunen-Lo eve Transform (KLT), the Discrete Cosine Transform (DCT), and the Discrete Wavelet Transform (DWT) is well-understood for optical images. Transform coding applied to synthetic aperture radar (SAR) data, however, has not been well-studied. This paper compares the results of compressing SAR images using KLT, DCT, and DWT coders. We compare the compression...

We present a new deblurring procedure on images provided by low-resolution synthetic aperture radar (SAR) or simply by multimedia in presence of multiplicative (speckle) or additive noise, respectively. The method we propose is defined as a two-step process. First, we use an original technique for noise reduction in wavelet domain. Then, the learning of a Kohonen self-organizing map (SOM) is pe...