AIMC Topic: Radar

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Lean Neural Networks for Autonomous Radar Waveform Design.

Sensors (Basel, Switzerland) Feb 9, 2022
In recent years, neural networks have exploded in popularity, revolutionizing the domains of computer vision, natural language processing, and autonomous systems. This is due to neural networks ability to approximate complex non-linear functions. Des...
Neural Networks, Computer Algorithms Computers Computer Simulation Radar
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LPI Radar Waveform Recognition Based on Neural Architecture Search.

Computational intelligence and neuroscience Jan 18, 2022
In order to reach the intelligent recognition, the deep learning classifiers adopted by radar waveform are normally trained with transfer learning, where the pretrained convolutional neural network on an external large-scale classification dataset (e...
Neural Networks, Computer Computer Simulation Radar
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Specific Radar Recognition Based on Characteristics of Emitted Radio Waveforms Using Convolutional Neural Networks.

Sensors (Basel, Switzerland) Dec 9, 2021
With the increasing complexity of the electromagnetic environment and continuous development of radar technology we can expect a large number of modern radars using agile waveforms to appear on the battlefield in the near future. Effectively identify...
Neural Networks, Computer Algorithms Computer Simulation Radar
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Target Recognition of SAR Images Based on SVM and KSRC.

Computational intelligence and neuroscience Oct 31, 2021
A synthetic aperture radar (SAR) target recognition method combining linear and nonlinear feature extraction and classifiers is proposed. The principal component analysis (PCA) and kernel PCA (KPCA) are used to extract feature vectors of the original...
Algorithms Support Vector Machine Principal Component Analysis Radar Recognition, Psychology
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Spatiotemporal modeling of land subsidence using a geographically weighted deep learning method based on PS-InSAR.

The Science of the total environment Jul 24, 2021
The demand for water resources during urbanization forces the continuous exploitation of groundwater, resulting in dramatic piezometric drawdown and inducing regional land subsidence (LS). This has greatly threatened sustainable development in the lo...
Neural Networks, Computer Deep Learning Groundwater Beijing Radar
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Target Classification in Synthetic Aperture Radar Images Using Quantized Wavelet Scattering Networks.

Sensors (Basel, Switzerland) Jul 22, 2021
The need to classify targets and features in high-resolution imagery is of interest in applications such as detection of landmines in ground penetrating radar and tumors in medical ultrasound images. Convolutional neural networks (CNNs) trained using...
Humans Neural Networks, Computer Signal-To-Noise Ratio Radar
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CNN-LRP: Understanding Convolutional Neural Networks Performance for Target Recognition in SAR Images.

Sensors (Basel, Switzerland) Jul 1, 2021
Target recognition is one of the most challenging tasks in synthetic aperture radar (SAR) image processing since it is highly affected by a series of pre-processing techniques which usually require sophisticated manipulation for different data and co...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Radar
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SAR ATR for Limited Training Data Using DS-AE Network.

Sensors (Basel, Switzerland) Jul 1, 2021
Although automatic target recognition (ATR) with synthetic aperture radar (SAR) images has been one of the most important research topics, there is an inherent problem of performance degradation when the number of labeled SAR target images for traini...
Neural Networks, Computer Radar Recognition, Psychology
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Classification of Space Objects by Using Deep Learning with Micro-Doppler Signature Images.

Sensors (Basel, Switzerland) Jun 25, 2021
Radar target classification is an important task in the missile defense system. State-of-the-art studies using micro-doppler frequency have been conducted to classify the space object targets. However, existing studies rely highly on feature extracti...
Neural Networks, Computer Computer Simulation Deep Learning Radar
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Foot Gesture Recognition Using High-Compression Radar Signature Image and Deep Learning.

Sensors (Basel, Switzerland) Jun 7, 2021
Recently, Doppler radar-based foot gesture recognition has attracted attention as a hands-free tool. Doppler radar-based recognition for various foot gestures is still very challenging. So far, no studies have yet dealt deeply with recognition of var...
Algorithms Deep Learning Gestures Pattern Recognition, Automated Data Compression Radar
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