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Simultaneous Target Classification and Moving Direction Estimation in Millimeter-Wave Radar System [PDF]
Sensors, 2021 In this study, we propose a method to identify the type of target and simultaneously determine its moving direction in a millimeter-wave radar system. First, using a frequency-modulated continuous wave (FMCW) radar sensor with the center frequency of 62 ...
Jin-Cheol Kim +2 more
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A Weighted Decision-Level Fusion Architecture for Ballistic Target Classification in Midcourse Phase [PDF]
Sensors, 2022 The recognition of warheads in the target cloud of the ballistic midcourse phase remains a challenging issue for missile defense systems. Considering factors such as the differing dimensions of the features between sensors and the different recognition ...
Nannan Wei, Limin Zhang, Xinggan Zhang
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CASP9 target classification. [PDF]
Proteins, 2011 AbstractThe Critical assessment of protein structure prediction round 9 (CASP9) aimed to evaluate predictions for 129 experimentally determined protein structures. To assess tertiary structure predictions, these target structures were divided into domain‐based evaluation units that were then classified into two assessment categories: template based ...
Kinch LN +7 more
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CASP 11 target classification. [PDF]
Proteins, 2016 ABSTRACTProtein target structures for the Critical Assessment of Structure Prediction round 11 (CASP11) and CASP ROLL were split into domains and classified into categories suitable for assessment of template‐based modeling (TBM) and free modeling (FM) based on their evolutionary relatedness to existing structures classified by the Evolutionary ...
Kinch LN +6 more
europepmc +6 more sources
HF Radar Signatures and Their Use for Target Classification, Recognition and Identification [PDF]
SensorsThe challenging goal of equipping HF radars with a target classification ability has been pursued for many years, yet no satisfactory system-level methodology has been reported.
Stuart Anderson
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IEEE Access, 2021 Accurate detection and tracking of birds and drones are of great significance in various low altitude airspace surveillance scenarios. Radar is currently the most proper long range surveillance technology for this problem but also challenged by various ...
Jia Liu, Qun Yu Xu, Wei Shi Chen
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Complex-Valued Sparse SAR-Image-Based Target Detection and Classification
Remote Sensing, 2022 It is known that synthetic aperture radar (SAR) images obtained by typical matched filtering (MF)-based algorithms always suffer from serious noise, sidelobes and clutter. However, the improvement in image quality means that the complexity of SAR systems
Chen Song +5 more
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CASP5 target classification [PDF]
Proteins: Structure, Function, and Genetics, 2003 This report summarizes the Critical Assessment of Protein Structure Prediction (CASP5) target proteins, which included 67 experimental models submitted from various structural genomics efforts and independent research groups. Throughout this special issue, CASP5 targets are referred to with the identification numbers T0129-T0195.
Kinch, Lisa N +3 more
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Leida xuebao, 2022 Convolutional Neural Networks (CNNs) are widely used in optical image classification. In the case of Synthetic Aperture Radar (SAR) images, obtaining sufficient training examples for CNNs is challenging due to the difficulties in and high cost of data ...
Xiaoling LYU +3 more
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Amplitude-Phase CNN-Based SAR Target Classification via Complex-Valued Sparse Image
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 It is known that a synthetic aperture radar (SAR) image obtained by matched filtering (MF)-based algorithms always suffers from serious noise, sidelobes, and clutters.
Jiarui Deng +4 more
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