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Data augmentation and classification of sea–land clutter for over-the-horizon radar using AC-VAEGAN
In the sea–land clutter classification of sky-wave over-the-horizon-radar (OTHR), the
imbalanced and scarce data lead to a poor performance of the deep learning-based …
imbalanced and scarce data lead to a poor performance of the deep learning-based …
A sea–land clutter classification framework for over-the-horizon radar based on weighted loss semi-supervised generative adversarial network
Deep convolutional neural network has made great achievements in sea–land clutter
classification for over-the-horizon radar (OTHR). The premise is that a large number of …
classification for over-the-horizon radar (OTHR). The premise is that a large number of …
Triple loss adversarial domain adaptation network for cross-domain sea–land clutter classification
The existing sea–land clutter classification task of sky-wave over-the-horizon-radar (OTHR)
assumes that the training data and test data are drawn from the same probability distribution …
assumes that the training data and test data are drawn from the same probability distribution …
An improved coordinate registration for over-the-horizon radar using reference sources
In the target localization of skywave over-the-horizon radar (OTHR), the error of the
ionospheric parameters is one main error source. To reduce the error of ionospheric …
ionospheric parameters is one main error source. To reduce the error of ionospheric …
Multiscale Feature Deep Fusion Method for Sea–Land Clutter Classification
Sea–land clutter classification (SLCC) is a key technology to improve the target positioning
accuracy of sky-wave over-the-horizon-radar (OTHR). The scale of the sea and land regions …
accuracy of sky-wave over-the-horizon-radar (OTHR). The scale of the sea and land regions …
Reference source‐aided coordinate registration method for over‐the‐horizon radar using ensemble learning
Z Lei, J Chen, H Chen, Z Zhang… - IET Radar, Sonar & …, 2023 - Wiley Online Library
Since solving the path of radio wave propagation by an analytic method in the process of
coordinate registration (CR) for skywave over‐the‐horizon radar (OTHR) is difficult, a …
coordinate registration (CR) for skywave over‐the‐horizon radar (OTHR) is difficult, a …
Multisource semisupervised adversarial domain generalization network for cross-scene Sea-Land clutter classification
X Zhang, Q Pan, S García - arxiv preprint arxiv:2402.06315, 2024 - arxiv.org
Deep learning (DL)-based sea\textendash land clutter classification for sky-wave over-the-
horizon-radar (OTHR) has become a novel research topic. In engineering applications, real …
horizon-radar (OTHR) has become a novel research topic. In engineering applications, real …
[HTML][HTML] 基于多通道图卷积神经网络的地海杂波分类方法
**灿， 王增福， 张效宣， 潘泉 - 雷达学报, 2024 - radars.ac.cn
地海杂波分类是提升天波超视距雷达目标定位精度的关键技术, 其核心是判别距离多普勒(RD)
图中每个方位-距离单元背景源自陆地或海洋的过程. 基于传统深度学**的地海杂波分类方法需 …
图中每个方位-距离单元背景源自陆地或海洋的过程. 基于传统深度学**的地海杂波分类方法需 …
Land-Sea Clutter Classification for Over-the-Horizon Radar via Dual Attention Aided Residual Neural Networks
Deep learning has been widely used in the field of radar image classification because of its
powerful feature extraction capabilities. In the land-sea clutter classification of sky-wave over …
powerful feature extraction capabilities. In the land-sea clutter classification of sky-wave over …
Coordinate Registration for Over-the-Horizon Radar Using Reference Sources and the IRI Model
In this paper, to improve the localization accuracy of over-the-horizon radar, a coordinate
registration method based on the International Reference Ionospheric model and reference …
registration method based on the International Reference Ionospheric model and reference …