We present a physically-based clutter model for low frequency synthetic aperture radar that includes both distributed scatterers and large-amplitude discrete clutter. The model is used to generate a synthetic forest clutter scene comprised of two components, a background component and a heavy-tailed discrete component. Model parameters are based on characteristics of the scene, such as the rada...

a fast and accurate synthetic aperture radar raw data generator of moving targets has high importance, especially in the applications of ground moving target indication. in this paper, in the hybrid time-frequency domain, a fast algorithm for strip mode sar raw data generation of moving targets has been proposed. using this simulator, in different conditions in terms of target motion speed, acc...

This paper proposes a time-frequency algorithm based on short-time fractional order Fourier transformation (STFRFT) for identification of a complicated movement targets. This algorithm, consisting of a STFRFT order-changing and quick selection method, is effective in reducing the computation load. A multi-order STFRFT time-frequency algorithm is also developed that makes use of the time-frequen...

Synthetic Aperture Radar ( S A R ) has become a valuable instrument with applications in reconnaissance and remote sensing. High resolution SAR imaging requires the motion of the radar platform to be known very accurately. Otherwise phase errors are induced in the processing of the raw S A R data, and bad focusing results. In particular, a constant error in the measured along track velocity or ...

Inverse Synthetic Aperture Radar (ISAR) target images are extracted using compressed sensing methods. The extracted images are edited and merged into measured Synthetic Aperture Radar (SAR) images. A noise free image of the target is extracted from the Radar Cross Section (RCS) measurement by using the Basis Pursuit Denoise (BPDN) method and then solving for a model consisting of point scattere...

We consider the problem of estimating a parametric model that describes radar backscattering from synthetic aperture radar imagery. We adopt a scattering center model that incorporates both frequency and aspect dependence of scattering. We develop an approximate maximum likelihood algorithm for parameter estimation directly on regions of the SAR image. The algorithm autonomously selects model o...

all-weather, dayand-night imaging capability for mapping the Earth’s surface. Through interferometric synthetic aperture radar (InSAR) technique, radar imagery can be used to map Earth surface characteristics and measure land surface deformation at an unprecedented precision and spatial resolution. This article introduces the basics of radar and InSAR imaging, summarizes the revolution of InSAR...

Inverse Synthetic Aperture Radar (ISAR) is a powerful radar processing technique which is capable of two and three dimensional high resolution image generation of the target. ISAR image is often regarded as an adequate and sufficient measure to discriminate between various targets like missiles, military aircraft and civilian aircrafts. However, if the target has complicated motion such as pitc...

Computer apparition plays the most important role in human perception, which is limited to only the visual band of the electromagnetic spectrum. The need for Radar imaging systems, to recover some sources that are not within human visual band, is raised. This paper present new algorithm for Synthetic Aperture Radar (SAR) images segmentation based on thresholding technique. Entropy based image t...

underwater target imaging using acoustic waves is possible by employing the method used in synthetic aperture radars. in recent years, synthetic aperture sonar has been the subject of several researches. wherein imaging of underwater moving target is required, inverse synthetic aperture sonar (isas) idea can be used but specifications and limitations of underwater channel should be considered. ...