Automatic target recognition on synthetic aperture radar imagery: A survey
Automatic target recognition (ATR) for military applications is one of the core processes
toward enhancing intelligence and autonomously operating military platforms. Spurred by …
toward enhancing intelligence and autonomously operating military platforms. Spurred by …
A survey on the applications of convolutional neural networks for synthetic aperture radar: Recent advances
In recent years, convolutional neural networks (CNNs) have drawn considerable attention
for the analysis of synthetic aperture radar (SAR) data. In this study, major subareas of SAR …
for the analysis of synthetic aperture radar (SAR) data. In this study, major subareas of SAR …
Sparse synthetic aperture radar imaging from compressed sensing and machine learning: Theories, applications, and trends
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 …
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …
FEC: A feature fusion framework for SAR target recognition based on electromagnetic scattering features and deep CNN features
The active recognition of interesting targets has been a vital issue for synthetic aperture
radar (SAR) systems. The SAR recognition methods are mainly grouped as follows …
radar (SAR) systems. The SAR recognition methods are mainly grouped as follows …
Mixed loss graph attention network for few-shot SAR target classification
Restricted by the observation condition, synthetic aperture radar (SAR) automatic target
classification based on deep learning usually suffers from insufficient training samples. To …
classification based on deep learning usually suffers from insufficient training samples. To …
Multilevel scattering center and deep feature fusion learning framework for SAR target recognition
Z Liu, L Wang, Z Wen, K Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In synthetic aperture radar (SAR) automatic target recognition (ATR), there are mainly two
types of methods: the physics-driven model and the data-driven network. The physics-driven …
types of methods: the physics-driven model and the data-driven network. The physics-driven …
Fusion recognition of space targets with micromotion
During the observation of micromotion targets in space, inverse synthetic aperture radar
usually obtains the narrowband and wideband echoes simultaneously. In order to exploit …
usually obtains the narrowband and wideband echoes simultaneously. In order to exploit …
Target recognition in SAR images by deep learning with training data augmentation
Z Geng, Y Xu, BN Wang, X Yu, DY Zhu, G Zhang - Sensors, 2023 - mdpi.com
Mass production of high-quality synthetic SAR training imagery is essential for boosting the
performance of deep-learning (DL)-based SAR automatic target recognition (ATR) …
performance of deep-learning (DL)-based SAR automatic target recognition (ATR) …
A comprehensive survey of machine learning applied to radar signal processing
P Lang, X Fu, M Martorella, J Dong, R Qin… - arxiv preprint arxiv …, 2020 - arxiv.org
Modern radar systems have high requirements in terms of accuracy, robustness and real-
time capability when operating on increasingly complex electromagnetic environments …
time capability when operating on increasingly complex electromagnetic environments …
Spatial–temporal ensemble convolution for sequence SAR target classification
Although numerous methods based on sequence image classification have improved the
accuracy of synthetic-aperture radar (SAR) automatic target recognition, most of them only …
accuracy of synthetic-aperture radar (SAR) automatic target recognition, most of them only …