Results 51 to 60 of about 576 (172)
Joint Noise Suppression and Resolution Enhancement of ISAR Images Using Integrated Neural Networks
This study proposes an integrated neural network for simultaneous noise suppression and resolution enhancement in inverse synthetic aperture radar (ISAR) images. The proposed approach sequentially combines separate generative models for each task and optimizes them using a joint learning strategy.
Seonmin Cho +5 more
wiley +1 more source
Three-Dimensional Imaging Method for Array ISAR Based on Sparse Bayesian Inference
The problem of synthesis scatterers in inverse synthetic aperture radar (ISAR) make it difficult to realize high-resolution three-dimensional (3D) imaging.
Zekun Jiao +3 more
doaj +1 more source
Sparse Array Configuration Optimization Based on Target Priors in Distributed ISAR Imaging
In this letter, we consider the sparse array configuration optimization problem for distributed inverse synthetic aperture radar (ISAR) imaging of long‐range targets, aiming to suppress the strong grating lobes caused by sparse sampling. Particularly, we propose a distributed ISAR configuration optimization method, which constructs an equivalent ...
Siyu Zhao, Guangbin Zhang, Yan Wang
wiley +1 more source
ISAR Imaging of Ship Targets Based on an Integrated Cubic Phase Bilinear Autocorrelation Function
For inverse synthetic aperture radar (ISAR) imaging of a ship target moving with ocean waves, the image constructed with the standard range-Doppler (RD) technique is blurred and the range-instantaneous-Doppler (RID) technique has to be used to improve ...
Jibin Zheng +3 more
doaj +1 more source
Hybrid polarimetry inverse synthetic aperture radar
The CTLR hybrid‐pol ISAR offers an efficient solution for non‐cooperative target applications, striking an optimal balance between conventional single‐pol ISAR and the widely used full‐pol ISAR. This approach is particularly advantageous for compact radar systems, such as those used in drones and small ground‐radar setups, where it could prove to be a ...
Ajeet Kumar +2 more
wiley +1 more source
This article presents a study on interferometric inverse synthetic aperture radar (ISAR) for three‐dimensional imaging and rotational velocity estimation. The study focuses on synchronisation error compensation in a multistatic setup with three ground‐based radars and non‐orthogonal baselines.
Manjunath Thindlu Rudrappa +3 more
wiley +1 more source
Statistical Analysis of Performance of Optimisation‐Based SAR Autofocus
Transionospheric SAR autofocus is a variational algorithm designed to overcome the limitations of conventional autofocus methods in correcting ionospheric distortions in spaceborne SAR images. This study provides a systematic statistical analysis of its robustness, examining the effects of turbulence, clutter, and noise on performance.
Patrick Haughey +2 more
wiley +1 more source
Research of InISAR imaging based on joint translational compensation
In order to solve the problem that conventional inverse synthetic aperture radar three-dimensional (InISAR 3D) imaging methods need too much computation and so many restrictions in image registration step, this study proposes an InISAR 3D imaging ...
Kai Zhang, Yingni Hou, Lin Jin
doaj +1 more source
3-D High-Resolution ISAR Imaging for Noncooperative Air Targets
This article uses the inverse synthetic aperture radar (ISAR) imaging method to present real-world tests on 3-D radar imaging of noncooperative air targets. Initially, the fundamentals of 3-D ISAR are introduced.
Marcin Kamil Baczyk +10 more
doaj +1 more source
Existing methods for inverse synthetic aperture radar (ISAR) target recognition typically rely on a single high-resolution radar signal type, such as ISAR images or high-resolution range profiles (HRRPs).
Jie Deng, Fulin Su
doaj +1 more source

