Results 211 to 220 of about 5,964,622 (303)

ISAR imaging of target exhibiting micro-motion with sparse aperture via model-driven deep network

IEEE Transactions on Geoscience and Remote Sensing, 2022
This study proposes a model-driven deep network based on the linear alternating direction method of multipliers (L-ADMM), to solve the problem whereby the inverse synthetic aperture radar (ISAR) generates defocused images of targets exhibiting micro ...
Y. Mai, Shuanghui Zhang, Weidong Jiang, Chi Zhang, Yongxiang Liu, Xiang Li   +5 more
semanticscholar   +1 more source

Deep Learning Approach for Sparse Aperture ISAR Imaging and Autofocusing Based on Complex-Valued ADMM-Net

IEEE Sensors Journal, 2021
Sparse aperture radar imaging is generally achieved by methods of compressive sensing (CS), or, sparse signal recovery(SSR). However, most of the traditional SSR methods cannot produce focused image stably, which limits their applications.
Ruize Li, Shuanghui Zhang, Chi Zhang, Yongxiang Liu, Xiang Li   +4 more
semanticscholar   +1 more source

Joint Frequency and PRF Agility Waveform Optimization for High-Resolution ISAR Imaging

IEEE Transactions on Geoscience and Remote Sensing, 2022
Traditional radar waveforms are easily intercepted and interfered with by enemy’s reconnaissance system with the time–frequency periodic pattern recognition.
Shaopeng Wei, Lei Zhang, Hongwei Liu
semanticscholar   +1 more source

Joint Motion Compensation and Distortion Correction for Maneuvering Target Bistatic ISAR Imaging Based on Parametric Minimum Entropy Optimization

IEEE Transactions on Geoscience and Remote Sensing, 2022
Bistatic inverse synthetic aperture radar (Bi-ISAR) can obtain complementary information about moving targets and overcome the inherent imaging limitations of monostatic ISAR.
Jiabao Ding, Ya-chao Li, Jiadong Wang, Ming Li, Jingyi Wei   +4 more
semanticscholar   +1 more source

Micro-Doppler Effects Removed Sparse Aperture ISAR Imaging via Low-Rank and Double Sparsity Constrained ADMM and Linearized ADMM

IEEE Transactions on Image Processing, 2021
Inverse synthetic aperture radar (ISAR) imaging for the target with micro-motion parts is influenced by the micro-Doppler (m-D) effects. In this case, the radar echo is generally decomposed into the components from the main body and micro-motion parts of
Shuanghui Zhang, Yongxiang Liu, Xiang Li
semanticscholar   +1 more source

Coherent multistatic ISAR imaging

IET International Conference on Radar Systems (Radar 2012), 2012
This paper presents methods for Coherent Multistatic Radar Imaging for Non Cooperative Target Recognition (NCTR) with a network of radar sensors. Coherent Multistatic Radar Imaging is based on an extension of existing monostatic ISAR algorithms to the multistatic environment.
Dorp, Ph. van, Otten, M.P.G., Verzeilberg, J.M.M.   +2 more
openaire   +3 more sources

Efficient ISAR Imaging Approach for Nonuniformly Rotating Targets Based on ICPF-PPP

IEEE Transactions on Aerospace and Electronic Systems, 2022
In this article, we introduce an improved algorithm for practical inverse synthetic aperture radar (ISAR) imaging, by utilizing the advantages of prominent point processing (PPP) and integrated cubic phase function (ICPF) in an efficient way.
Ki-Bong Kang, Byung-Soo Kang, Sang-Hong Park, Kyungtae Kim   +3 more
semanticscholar   +1 more source

Real-Time Super-Resolution ISAR Imaging Using Unsupervised Learning

IEEE Geoscience and Remote Sensing Letters, 2022
Compressive sensing (CS) enables high-resolution inverse synthetic aperture radar (ISAR) imaging with limited measurements. However, these methods reconstruct images via iterative optimization, resulting in a high computational load.
Xuejun Huang, Jinshan Ding, Zhong Xu
semanticscholar   +1 more source

ISAR imaging of helicopter

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
Conventional envelope alignment method of ISAR imaging assumes that the target is a rigid body, and therefore, the correlation between one-dimensional range profiles at neighboring time slots gives a larger value compared to correlation between time separated range profiles.
Hwee Siang Tan, Chang Zheng Ma, Bin Zou, Zhoufeng Liu, Tat Soon Yeo, Xiujie Dong   +5 more
openaire   +2 more sources

A Novel ISAR Imaging and Scaling Approach for Maneuvering Targets Based on High-Accuracy Phase Parameter Estimation Algorithm

IEEE Transactions on Geoscience and Remote Sensing, 2022
For inverse synthetic aperture radar (ISAR) imaging of maneuvering targets, the Doppler frequency induced by an arbitrary scatterer on the target is time-varying, and hence, the traditional range-Doppler (RD) algorithm is not appropriate for obtaining ...
Zitao Liu, Yicheng Jiang, Yong Wang, Yuhan Du, Jinxiang Wang   +4 more
semanticscholar   +1 more source