Results 11 to 20 of about 358 (157)
Extended Target Marginal Distribution Poisson Multi-Bernoulli Mixture Filter
The existence of clutter, unknown measurement sources, unknown number of targets, and undetected probability are problems for multi-extended target tracking, to address these problems; this paper proposes a gamma-Gaussian-inverse Wishart (GGIW ...
Haocui Du, Weixin Xie
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A Convolutional Neural Network Combined with Attributed Scattering Centers for SAR ATR
It is very common to apply convolutional neural networks (CNNs) to synthetic aperture radar (SAR) automatic target recognition (ATR). However, most of the SAR ATR methods using CNN mainly use the image features of SAR images and make little use of the ...
Yu Zhou, Yi Li, Weitong Xie, Lu Li
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AUTOMATIC TARGET RECOGNITION OF COMPLEX INTERNAL STRUCTURE [PDF]
The paper presents methods of automatic target recognition from images with complex internal structure. Recognition methods proposed are based on the Fourier transform properties.
Tadeusz Niedziela
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Auxiliary Truncated Unscented Kalman Filtering for Bearings-Only Maneuvering Target Tracking
Novel auxiliary truncated unscented Kalman filtering (ATUKF) is proposed for bearings-only maneuvering target tracking in this paper. In the proposed algorithm, to deal with arbitrary changes in motion models, a modified prior probability density ...
Liang-Qun Li +3 more
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A Novel FEM Based T-S Fuzzy Particle Filtering for Bearings-Only Maneuvering Target Tracking
In this paper, we propose a novel fuzzy expectation maximization (FEM) based Takagi-Sugeno (T-S) fuzzy particle filtering (FEMTS-PF) algorithm for a passive sensor system.
Xiaoli Wang, Liangqun Li, Weixin Xie
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One-vs-All Convolutional Neural Networks for Synthetic Aperture Radar Target Recognition
Convolutional Neural Networks (CNN) have been widely utilized for Automatic Target Recognition (ATR) in Synthetic Aperture Radar (SAR) images. However, a large number of parameters and a huge training data requirements limit CNN’s use in SAR ATR.
Babu Bileesh Plakkal +1 more
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A Robust Multi-Sensor Data Fusion Clustering Algorithm Based on Density Peaks
In this paper, a novel multi-sensor clustering algorithm, based on the density peaks clustering (DPC) algorithm, is proposed to address the multi-sensor data fusion (MSDF) problem.
Jiande Fan, Weixin Xie, Haocui Du
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Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5
To overcome the shortcomings of the traditional manual detection of underwater targets in side-scan sonar (SSS) images, a real-time automatic target recognition (ATR) method is proposed in this paper. This method consists of image preprocessing, sampling,
Yongcan Yu +5 more
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A Channelization-Based DOA Estimation Method for Wideband Signals
In this paper, we propose a novel direction of arrival (DOA) estimation method for wideband signals with sensor arrays. The proposed method splits the wideband array output into multiple frequency sub-channels and estimates the signal parameters using a ...
Rui Guo +3 more
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Automatic target recognition (ATR) in target search phase is very challenging because the target range and mobility are not yet perfectly known, which results in delay-Doppler uncertainty.
Qilian Liang
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