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The reducing noise is one of the most challenging problem in digital image processing. This is a fundamental issue both in satellite images, medical images and other application connected with computer vision and pattern recognition. Many numerical methods have been adapted for noise reduction problem. In this article we describe filtering techniques, which were developed for the problem of removing noise from the interferometric SAR images. The problem of SAR interferogram noise reduction is especially important ...

Detecting objects in images is of widespread interest due to a large number of applications in diverse disciplines, including remote sensing, medical images, geology and civil infrastructure. This paper presents a comparison of selected techniques that may be useful for the object detection connected with ground deformations within large areas using satellite radar interferometry (DInSAR, Differential Interferometry Synthetic Aperture Radar) techniques. The DInSAR method, that exploits two SAR images, derives info...