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20222024
most citedAccurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA

21 citations · 27 across the 10 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition

Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan +2

Synthetic Aperture Radar SAR Automatic Target Recognition ATR is a key technique of remote-sensing image recognition which can be supported by deep neural networks The existing wor…

cs.CV2023

Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers

Tian Ye, Rajgopal Kannan, Viktor Prasanna +2

Adversarial attacks have highlighted the vulnerability of classifiers based on machine learning for Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) tasks. An adve…

cs.DC2023★ 2 cited

Performance of Graph Neural Networks for Point Cloud Applications

Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan +2

Graph Neural Networks (GNNs) have gained significant momentum recently due to their capability to learn on unstructured graph data. Dynamic GNNs (DGNNs) are the current state-of-th…

cs.CV2023★ 4 cited

Graph Neural Network for Accurate and Low-complexity SAR ATR

Bingyi Zhang, Sasindu Wijeratne, Rajgopal Kannan +2

Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) is the key technique for remote sensing image recognition. The state-of-the-art works exploit the deep convolution…

cs.AR2023★ 21 cited

Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA

Bingyi Zhang, Rajgopal Kannan, Viktor Prasanna +1

Synthetic aperture radar (SAR) automatic target recognition (ATR) is the key technique for remote-sensing image recognition. The state-of-the-art convolutional neural networks (CNN…