Results 161 to 170 of about 46,586 (232)

Review of Inverse Synthetic Aperture Radar (ISAR), Polarimetric ISAR Imaging and Interpretation

2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2023
In this work, a brief but a complete review of Inverse Synthetic Aperture Radar (ISAR) imaging theory is given and the usage of polarimetric imaging concepts in ISAR imaging is shared.
Caner Ă–zdemir
openaire   +2 more sources

Sparsity-Driven Inverse Synthetic Aperture Radar Imaging Using Accelerated Meta-Heuristic Optimization

IEEE Transactions on Aerospace and Electronic Systems, 2023
When the inverse synthetic aperture radar (ISAR) system has sparse-aperture (SA) dataset along the cross-range axis, it can blur the ISAR image of target having complex motion.
Kyung-Min Lee   +2 more
semanticscholar   +1 more source

Sparse Inverse Synthetic Aperture Radar Imaging Using Structured Low-Rank Method

IEEE Transactions on Geoscience and Remote Sensing, 2021
There has been an increasing interest in addressing the issue of high-resolution inverse synthetic aperture radar (ISAR) imaging from sparse sampling data. Traditional compressed sensing (CS) and matrix completion (MC) methods are based on sparse and low-
Gang Xu   +5 more
semanticscholar   +1 more source

Inverse Synthetic Aperture Radar Imaging and Its Basic Concepts

Algorithms, 2022
Inverse Synthetic Aperture Radar Imaging of the Ex-USS Hull Using Spectral Estimation TechniquesInverse Synthetic Aperture Radar Imaging With MATLAB AlgorithmsSynthetic Aperture Radar Signal Processing with MATLAB AlgorithmsUnderstanding Synthetic ...

semanticscholar   +1 more source

Nearfield Multiple-Input Multiple-Output Inverse Synthetic Aperture Radar for High-Resolution Imaging of Large Objects

European Radar Conference, 2023
The inverse synthetic aperture radar (ISAR) principle is utilized in combination with a multiple-input multiple-output (MIMO) radar imaging system in order to generate high-resolution images of large objects.
Marius Brinkmann   +2 more
semanticscholar   +1 more source

Inverse Synthetic-Aperture Radar(ISAR) Images Recognition Using Deep Learning

2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA), 2020
We propose a method to recognize and classify inverse synthetic-aperture radar (ISAR) images of a target. The information that is combined from various image frames, it is generally in the context of time-averaging to remove statistically atomic noise shifts in the images.
Abhishek Avadhani   +3 more
openaire   +1 more source

Non-Line-of-Sight Imaging of Hidden Moving Target using Millimeter-wave Inverse Synthetic Aperture Radar

IEEE International Geoscience and Remote Sensing Symposium, 2022
High-resolution imaging of the corner-hidden moving target makes tremendous sense in the fields of urban sensing and autonomous driving. In this paper, a joint No-line-of-sight (NLOS) model and inverse synthetic aperture radar (ISAR) imaging method are ...
Yanbo Wen   +5 more
semanticscholar   +1 more source

Inverse Synthetic Aperture Radar Imaging Using a Fully Convolutional Neural Network

IEEE Geoscience and Remote Sensing Letters, 2020
The traditional inverse synthetic aperture radar (ISAR) imaging uses the range-Doppler (RD) type of methods. The compressive sensing (CS)-based ISAR imaging is capable of obtaining good target images of high contrast and less sidelobe with much less ...
Changyu Hu, Ling Wang, Ze Li, Daiyin Zhu
semanticscholar   +1 more source

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