A novel motion compensation technique is presented for the purpose of forming focused ISAR images which exhibits the robustness of parametric methods but overcomes their convergence difficulties. Like the most commonly used parametric autofocus techniques in ISAR imaging (the image contrast maximization and entropy minimization methods) this is achieved by estimating a target’s radial motion in...

Entropy-based divergence measures have shown promising results in many areas of engineering and image processing. In this paper, we define a new generalized divergence measure, namely, the Jensen–Rényi divergence. Some properties such as convexity and its upper bound are derived. Based on the Jensen–Rényi divergence, we propose a new approach to the problem of image registration. Some appealing...

Recently DLR has developed and constructed a new experimental radar instrument for various applications like radar signature collection, SAR/ISAR imaging, motion detection, tracking, etc., where high performance and high flexibility have been the key drivers for system design. Consequently a multipurpose and multi-channel radar called GigaRad is operated in X band and allows an overall bandwidt...

An inverse synthetic aperture radar (ISAR) technique is proposed to acquire high-resolution steady images of high-speed aerial target with installed on a moving vessel. The phase changes due motion and attitude perturbation the vessel are compensated. A 2D ISAR imaging method enhanced 3D-compatible uncooperative targets. parameters fine-tuned iteratively better focus image. <inline-formula xmln...

A well-focused and high-resolution inverse synthetic aperture radar (ISAR) image of ship target is appropriate to the classification recognition, especially for ISAR presenting ship's top or side view. For this purpose, a novel optimal time window determination (OTWD) approach based on imaging projection plane (IPP) selection proposed in article. First, OTWD determines view via IPP selection. T...

nowadays, radar systems have many applications and radar imaging is one of the most important of these applications. inverse synthetic aperture radar (isar) is used to form an image from moving targets. conventional methods use fourier transform to retrieve doppler information. however, because of maneuvering of the target, the doppler spectrum becomes time-varying and the image is blurred. joi...

The 3-D inverse synthetic aperture radar (ISAR) tomography is an enabling technique for applications such as the exact diagnosis of scattering mechanisms complex targets. Nevertheless, current ISAR solutions still suffer from problems great computational complexity and optimal utilization signatures acquired limited baselines. In this work, we propose a fast fully polarimetric imaging man-made ...

The inherent unknown deformations of inverse synthetic aperture radar (ISAR) images, such as translation, scaling, and rotation, pose great challenges to space target classification. To achieve high-precision classification for ISAR a deformation-robust image network using contrastive learning (CL), i.e., CLISAR-Net, is proposed deformation Unlike traditional supervised methods, CLISAR-Net deve...

A novel multiview inverse synthetic aperture radar (ISAR) imaging method is proposed to simulate high-resolution and identifiable ISAR image of complex targets by handling large-angle wide-bandwidth scattering data. The data are simulated with the shooting bouncing ray (SBR) method. bidirectional ray-tracing algorithm developed reduce computation time. Simulation results indicate that improved ...