ABSTRACT Synthetic aperture radar interferometry is an imaging technique for measuring the topography of a surface, its changes over time, and other changes in the detailed characteristics of the surface.. In order to get interference patterns, the images from two satellite passes must be registered to subpixel accuracy. In the paper, we discuss the registration of two interfering SAR images ba...

Segmentation of Synthetic Aperture Radar (SAR) images have a great use in observing the global environment, and in analysing the target detection and recognition .But , segmentation of (SAR) images is known as a very complex task, due to the existence of speckle noise. Therefore, in this paper we present a fast SAR images segmentation based on between class variance. Our choice for used (BCV) m...

This paper presents a new approach to flood mapping using satellite synthetic-aperture radar (SAR) images that is based on intelligent techniques. In particular, we apply artificial neural networks, self-organizing Kohonen’s maps (SOMs), for SAR image segmentation and classification. Our approach was used to process data from different satellite SAR instruments (ERS-2/SAR, ENVISAT/ASAR, RADARSA...

We use the genetic programming (GP) paradigm for two tasks. The first task given a GP is the generation of rules for the target / clutter classification of a set of synthetic aperture radar (SAR) images, the second, the generation of rules for the identification of tanks in a second set of SAR images. To perform these tasks, previously defined feature sets are generated on the various images, a...

Segmentation of SAR (Synthetic Aperture Radar) and PolSAR (Polarimetric SAR) images is a challenging task, both because such images are strongly textured and because of the relatively complicated stochastic model that is assumed. Such stochastic models may vary from classical Gaussian to the more advanced SIRVs. Since contour approaches are highly unreliable for textured images, multi-resolutio...

248 All Rights Reserved © 2013 IJARCSEE Abstract: Speckle noise is an important aspect of synthetic aperture radar (SAR) imagery because it greatly affects the quality of the image captured SAR. Speckle noise may consider as inherent disadvantage involve with SAR systems because of its working principle (coherent imagery). This paper presents a wavelet based technique to filter the speckle nois...

It has been well established that Synthetic Aperture Radar (SAR) images over the ocean can provide wind information over small spatial scales. SAR image data can be used quantitatively as an imaging scatterometer if the SAR is calibrated and a suitable wind retrieval model is available [Vachon & Dobson 1996; Wackerman et al. 1996; Fetterer et al. 1998]. Canada’s Radarsat SAR (C-band HH polarisa...

ork is described whose long-term goal is the extraction and analysis of fine-scale wind fields from synthetic aperture radar (SAR) images of the ocean surface. Results are based on a field experiment in which a SAR image was taken nearly simultaneously with in situ aircraft-based turbulence and radar altimeter measurements. These results show a direct correlation between SAR “streaks” and atmos...