Radar has been used for remote sensing and surveillance for decades. Nowadays radar remote sensing and radar surveillance is used for many different things in the modern society. Radar can sense objects or environments from very long distance. Electromagnetic radar waves can work where and when light cannot. This unique ability of radar made remote sensing techniques available in research and i...

In this papel; the problem of the detection of road networks in Synthetic Aperture Radar (SAR) images is addressed. This task is important for the registration of SAR images to existing maps and for perfect superposition of multitemporal SAR images. SAR image analysis is a dificult task because of speckle noise and textures and low Signal to Noise Ratios. This paper focuses on the comparison of...

Ground moving target indication (GMTI) is an important function of many airborne or spaceborne synthetic aperture radar (SAR) systems. The detection of ground moving targets based on SAR images, called SAR-GMTI, is a popular way. It is difficult for a conventional single-channel SAR system to achieve good GMTI performance, because of the difficulty in separating the ground moving targets from t...

Synthetic Aperture Radar (SAR) is a satellite imaging technology. It produces high resolution images and can be used in varied atmospheric conditions. It can be used under all weather conditions. SAR images are generally affected with granular noise termed as speckle noise. Speckle degrades the spatial resolution, contrast of the image, decreases object detectability and causes inconvenience to...

This paper deals with the supervised classification of synthetic aperture radar (SAR) images. Our approach is based on two criteria, which explicitly take into account the intensity of the SAR image and the neighborhood classes, similarly to the Pots model, but weighted by a discontinuity map. The high level of noise involves numerous classification errors, then we classify a restored image fil...

The presence of speckle in Synthetic Aperture Radar (SAR) images makes the segmentation of such images difficult A novel method for automatic segmentation of SAR images is proposed. Firstly, a wavelet packet based texture feature set is derived. It consists of the energy of the feature subimages obtained by the overcomplete wavelet packet decomposition of local areas in SAR image, where the dow...

Bright curvilinear features in Synthetic Aperture Radar (SAR) images arising from the geometry of urban structures have been successfully used for estimating urban earthquake damage, using single preand post-event high resolution amplitude SAR images. In this paper, further automation of the process of selecting candidate curvilinear features for change detection is proposed, based on a model s...

We introduce from first principles a synthetic aperture radar (SAR) imaging and target motion estimation method that is combined with compensation for radar platform trajectory perturbations. The main steps of the method are (a) segmentation of the data into properly calibrated small apertures, (b) preliminary motion estimation from the data using the Wigner transform and the ambiguity function...

In this paper, we present a Stationary Wavelet Transform (SWT) based method for the purpose of despeckling the Synthetic Aperture radar (SAR) images by applying a maximum a posteriori probability (MAP) condition to estimate the noise free wavelet coefficients. The solution of the MAP estimator is based on the assumption that the wavelet coefficients have a known distribution. Rayleigh distribut...

[1] Near-inertial ( 18 hours) internal waves were observed in the mid-western part of the East Sea on May 18 and 19, 2004 using C-band Synthetic Aperture Radar (SAR) images. Current and temperature measurements obtained during the field experiment from 10 May to 9 June 2004 (IWXES2004, Internal Wave eXperiment in the East Sea), were analyzed to investigate the processes by which near-inertial i...