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Radar Imaging Techniques

2020
Radar as a coherent imager is physically based on the wave equations that govern the behavior of wave-targets interactions through the process of radiation, transmission, propagation, and reflection/refraction. This chapter briefly introduces the stochastic wave equations at a minimum but sufficient level to serve as fundamentals of radar imaging ...
Kun Shan Chen
openaire   +2 more sources

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

Spaceborne Synthetic Aperture Radar Imaging Algorithms: An overview

IEEE Geoscience and Remote Sensing Magazine, 2022
Spaceborne synthetic aperture radar (SAR) has been widely used in the national defense, geologic mapping, disaster estimation, and other fields. This technique has realized the technological leap forward from low-Earth-orbit (LEO) to medium-Earth-orbit ...
Guangcai Sun   +5 more
semanticscholar   +1 more source

Radar Imaging

Radar Networks, 2020
Hai Deng, Zhe Geng
openaire   +2 more sources

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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