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Sparse Synthetic Aperture Radar Imaging From Compressed Sensing and Machine Learning: Theories, applications, and trends

IEEE Geoscience and Remote Sensing Magazine, 2022
Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear inverse problems, and the resolution is limited by the data bandwidth for traditional imaging techniques via matched filter (MF).
Gang Xu   +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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