In this paper, a SAR target detection network based on semi-supervised learning and attention mechanism is proposed with regard to the analysis above. The ...
Jul 5, 2021 · Therefore, a SAR target detection network based on a semi-supervised learning and attention mechanism is proposed in this paper. Since the image ...
Abstract: The existing Synthetic Aperture Radar (SAR) image target detection methods based on convolutional neural networks (CNNs) have achieved remarkable ...
This project focuses on a 2021 research paper on target detection in SAR images based on semi-supervised learning and attention mechanism.
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A Semi-Supervised Synthetic Aperture Radar (SAR) Image Recognition ...
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Aug 6, 2019 · Synthetic Aperture Radar (SAR) target recognition is an important research direction of SAR image interpretation.
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Dec 14, 2023 · The experimental results on the measured SAR image datasets and the ORS images dataset indicate that our method achieves superior SAR target ...
Jul 8, 2021 · The existing Synthetic Aperture Radar (SAR) image target detection methods based on convolutional neural networks (CNNs) have achieved ...
The single shot multibox detector (SSD), which is a real-time object detection method based on convolutional neural network, is applied to realize target ...
An end-to-end semi-supervised recognition method based on an attention mechanism and bias-variance decomposition, which focuses on the unlabeled data ...
Synthetic aperture radar (SAR) images have special physical scattering characteristics owing to their unique imaging mechanism. Traditional deep learning ...