ISAR High-Resolution Imaging Method With Joint FISTA and VGGNet

ISAR High-Resolution Imaging Method With Joint FISTA and VGGNet

With regard to inverse synthetic aperture radar (ISAR) imaging, traditional range-Doppler (RD) algorithm is inapplicable to sparse aperture. Although compressive sensing (CS) algorithm can overcome this problem, the imaging resolution is not high enough. When deep learning (DL) is applied to ISAR im...

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Bibliographic Details
Main Authors: Xu Wei, Jun Yang, Mingjiu Lv, Wenfeng Chen, Xiaoyan Ma, Ming Long, Saiqiang Xia
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Inverse synthetic aperture radar (ISAR)
deep learning (DL)
compressive sensing (CS)
high-resolution processing network (HRPN)
peak extraction technology
Online Access:https://ieeexplore.ieee.org/document/9447751/

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