Synthetic Aperture Radar (SAR) target detection and identification technology is one of the choke points for SAR practical application, the key of which is effective feature extraction. In terms of high resolution SAR image, target identification performance can be improved if contour feature of target, one of main geometric structures, can be detected accurately. Therefore a method was propose...

In this work we present a new algorithm that enable to perform automatic target recognition (ATR) in high-resolution synthetic aperture radar (SAR) data. According to the microwave backscattering theory and the three-dimension model of target, we calculate radar cross section (RCS) and correspondingly obtain the high resolution inverse synthetic aperture radar (ISAR) image of target. In order t...

Reduction of speckle noise is one of the most important processes to increase the quality of radar coherent images. Image variances or speckle is a granular noise that inherently exists in and degrades the quality of the active radar and SAR images. Before using active radar and SAR imageries, the very first step is to reduce the effect of Speckle noise. Most of speckle reduction techniques hav...

This article presents the analysis of the Bragg scattering phenomenon which has been observed in the images of machineplanted rice paddies acquired by the JERS-1 L-band synthetic aperture radar (SAR). The simultaneous measurements of rice plants were made at the SAR data acquisition times. Large differences of 20–25 dB in image intensity between the transplanting and ripening stages are found t...

Satellite-based radar images of the ocean surface reveal fine features of natural and man-made phenomena in the upper ocean [1–3]. Satellite technology continues to advance as it produces better/higher resolution images of the ocean surface. Fine horizontal features on scales less than the typical scale of the upper ocean mixed layer (about 30–50 m) are often associated with three-dimensional p...

A theoretical model is developed to describe the interferometric coherency between pairs of SAR images of rough soil surfaces. The model is derived using a dyadic form for surface reflectivity in the Kirchhoff approximation. This permits the combination of Kirchhoff theory and spotlight synthetic aperture radar (SAR) image formation theory. The resulting model is used to describe the interferom...

With the development of high-resolution Synthetic Aperture Radar (SAR) systems, researchers are increasingly paying attention to the application of SAR offset tracking methods in ground deformation estimation. The traditional normalized cross correlation (NCC) tracking method is based on regular matching windows. For areas with different moving characteristics, especially the landslide boundary...

This paper treats the compression of Synthetic Aperture Radar (SAR) imagery. SAR images are di cult to compress, relative to natural images, because SAR contains an inherent high frequency speckle. Today's state-of-the-art coders are designed to work with natural images, which have a lower frequency content. Thus, their performance on SAR is under par. In this paper we give an overview performa...

Interferometric Synthetic Aperture Radar (InSAR) is a new measurement technology, making use of the phase information contained in the Synthetic Aperture Radar (SAR) images. InSAR has been recognized as a potential tool for the generation of digital elevation models (DEMs) and the measurement of ground surface deformations. However, many critical factors affect the quality of InSAR data and lim...