Results 161 to 170 of about 41,591 (204)

Inverse Synthetic Aperture Radar Imaging Using a Deep ADMM Network

International Radar Symposium, 2019
In the past decade, the compressive sensing (CS) based ISAR imaging methods have gained much interest due to the capability of obtaining high-quality images with under-sampled data.
Changyu Hu, Ze Li, Ling Wang, Jun Guo, O. Loffeld   +4 more
semanticscholar   +1 more source

3-D Interferometric Inverse Synthetic Aperture Radar Imaging of Ship Target With Complex Motion

IEEE Transactions on Geoscience and Remote Sensing, 2018
A novel algorithm for 3-D interferometric inverse synthetic aperture radar (InISAR) imaging of ship target with complex motion via orthogonal double baseline is presented.
Yong Wang, Xuefei Chen
semanticscholar   +1 more source

GEO Targets ISAR Imaging With Joint Intra-Pulse and Inter-Pulse High-Order Motion Compensation and Sub-Aperture Image Fusion at ULCPI

IEEE Transactions on Geoscience and Remote Sensing
The high orbit height leads to the ultralow signal-to-noise ratio (ULSNR) of geosynchronous (GEO) targets, so it is necessary to increase the coherent processing interval (CPI) to improve the coherent accumulation gain.
Shuai Shao, Hongwei Liu, Jiaqi Wei
semanticscholar   +1 more source

Inverse synthetic aperture radar imaging with two-dimensional cluster sparse structure by matrix-formed iteratively reweighted complex approximate message passing

Journal of Applied Remote Sensing, 2018
. A matrix-formed iteratively reweighted complex approximate message passing (MIRCAMP) method is proposed for inverse synthetic aperture radar (ISAR) imaging with two-dimensional (2-D) cluster sparse structure.
Wenfeng Chen, Long Xiang, Jun Yang, Xiao-yan Ma, Ning Ma   +4 more
semanticscholar   +1 more source

An Efficient Sparse Aperture ISAR Imaging Framework for Maneuvering Targets

IEEE Transactions on Antennas and Propagation
Existing inverse synthetic aperture radar (ISAR) imaging methods under sparse aperture (SA) conditions are usually based on the assumption that the target motion is stationary, which limits their performance in practical applications.
Chen Chen, Zhiyong Xu, Sirui Tian
semanticscholar   +1 more source

A Sparse Aperture ISAR Imaging and Autofocusing Method Based on Meta-Learning Framework

IEEE Transactions on Antennas and Propagation
The cross-range resolution of inverse synthetic aperture radar (ISAR) images is influenced by undersampled data under the sparse aperture (SA) condition.
Ruize Li, Shuanghui Zhang, Yongxiang Liu, Xiang Li   +3 more
semanticscholar   +1 more source

PIN: Sparse Aperture ISAR Imaging via Self-Supervised Learning

IEEE Geoscience and Remote Sensing Letters
The sparse aperture (SA) phenomenon, when encountered in the context of inverse synthetic aperture radar (ISAR) imaging, poses a formidable challenge in acquiring high-resolution ISAR images to establish ground truth.
Hongzhi Li, Jialiang Xu, Haoxuan Song, Yong Wang   +3 more
semanticscholar   +1 more source

Inverse Synthetic Aperture Radar Imaging: Principles, algorithms and applications

, 2014
Based on the authors' 20 years' research work on Inverse Synthetic Aperture Radar (ISAR) imaging of moving targets and non-cooperative target recognition, this book provides readers with knowledge of various algorithms of ISAR imaging of targets and ...
V. Chen, M. Martorella
semanticscholar   +1 more source

Joint approach of translational and rotational phase error corrections for high-resolution inverse synthetic aperture radar imaging using minimum-entropy

, 2016
In high-resolution inverse synthetic aperture radar (ISAR) imaging, the rotational motion of the targets tends to introduce the time-variant Doppler modulation in the echo, which acts as the range-variant phase errors in the phase history.
Gang Xu, M. Xing, Lei Yang, Z. Bao
semanticscholar   +1 more source

Inverse Synthetic Aperture Radar Imaging with MATLAB® Algorithms [PDF]

, 2021
openaire   +1 more source