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Experimental Research on Interferometric Inverse Synthetic Aperture Radar Imaging with Multi-Channel Terahertz Radar System [PDF]

open access: goldSensors, 2019
The all solid-state terahertz (THz) radar has obvious miniaturized integration and high resolution imaging advantages compared with conventional microwave radar.
Ye Zhang   +4 more
doaj   +5 more sources

Inverse Synthetic Aperture Radar Imaging Using an Attention Generative Adversarial Network [PDF]

open access: goldRemote Sensing, 2022
The traditional inverse synthetic aperture radar (ISAR) imaging uses matched filtering and pulse accumulation methods. When improving the resolution and real-time performance, there are some problems, such as the high sampling rate and large amount of ...
Yanxin Yuan   +3 more
doaj   +3 more sources

High‐resolution inverse synthetic aperture radar imaging of satellites in space [PDF]

open access: goldIET Radar, Sonar & Navigation, 2023
In view of the increasing number of space objects, comprehensive high‐quality space surveillance becomes ever more important. Radar is a powerful tool that, in addition to detection and tracking of objects, also enables spatially high‐resolution imaging ...
Simon Anger   +4 more
doaj   +3 more sources

Fusion of Inverse Synthetic Aperture Radar and Camera Images for Automotive Target Tracking [PDF]

open access: greenIEEE Journal on Selected Topics in Signal Processing, 2022
Automotive targets undergoing turns in road junctions offer large synthetic apertures over short dwell times to automotive radars that can be exploited for obtaining fine cross-range resolution.
Shobha Sundar Ram
openalex   +3 more sources

Coherent compensation and high‐resolution technology of multi‐band inverse synthetic aperture radar fusion imaging [PDF]

open access: goldIET radar, sonar & navigation, 2021
National Natural Science Foundation of China, Grant/Award Number: 61601496; Natural Science Foundation of Hebei Province, Grant/Award Numbers: F2019506031, F2019506037, F2020506036; Frontier Innovation Program of Army Engineering University, Grant/Award ...
Xiaoxiu Zhu   +5 more
openalex   +2 more sources

Noise-robust range alignment method for inverse synthetic aperture radar based on aperture segmentation and average range profile correlation [PDF]

open access: goldEURASIP Journal on Advances in Signal Processing, 2021
Range alignment is an essential procedure in the translation motion compensation of inverse synthetic aperture radar imaging. Global optimization or maximum-correlation-based algorithms have been used to realize range alignment.
Yue Lu, Jian Yang, Yue Zhang, Shiyou Xu
doaj   +2 more sources

Inverse Synthetic Aperture Radar Imaging: A Historical Perspective and State-of-the-Art Survey

open access: yesIEEE Access, 2021
Radar can obtain high spatial resolution at large operating distances, and its operation is largely independent from weather and lighting conditions. This makes it an important instrument in an ever-increasing number of applications requiring robust and ...
Risto Vehmas, Nadav Neuberger
doaj   +2 more sources

Logarithmic Laplacian Prior Based Bayesian Inverse Synthetic Aperture Radar Imaging [PDF]

open access: yesSensors, 2016
This paper presents a novel Inverse Synthetic Aperture Radar Imaging (ISAR) algorithm based on a new sparse prior, known as the logarithmic Laplacian prior.
Shuanghui Zhang   +3 more
doaj   +2 more sources

Classification of Automotive Targets Using Inverse Synthetic Aperture Radar Images [PDF]

open access: greenIEEE Transactions on Intelligent Vehicles, 2022
Traditionally, point cloud representations or Doppler spectrograms have been generated from short-range automotive radars for dynamic object detection and classification.
Neeraj Pandey, Shobha Sundar Ram
openalex   +2 more sources

Inverse Synthetic Aperture Radar Sparse Imaging Exploiting the Group Dictionary Learning

open access: yesRemote Sensing, 2021
Sparse imaging relies on sparse representations of the target scenes to be imaged. Predefined dictionaries have long been used to transform radar target scenes into sparse domains, but the performance is limited by the artificially designed or existing ...
Changyu Hu   +3 more
doaj   +2 more sources

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