Target recognition
Application of FRS on Target Recognition
... on target recognition such that their practical difference can be iden- tified ...the target recognition than single FS and RS me- ...to target recognition, were not studied all ...
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Target Recognition with Radar Images via Parameterized Dictionary Sets
... signature, target recognition with the ISAR images has been an active research area in past decades ...the recognition performance of the method could be significantly degraded in an actual situation ...
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SAR Automatic Target Recognition Based on Deep Convolutional Neural Networks
... Abstract. Deep convolutional neural networks (CNN) have recently proven extremely competitive in challenging visible light image and speech recognition tasks. The goal of the present study is to explore the ...
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Kernel generalized neighbor discriminant embedding for SAR automatic target recognition
... In this paper, we propose a new supervised feature extraction algorithm in synthetic aperture radar automatic target recognition (SAR ATR), called generalized neighbor discriminant embedding (GNDE). Based ...
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Optimization of Convolutional Neural Network Target Recognition Algorithm
... network target recognition algorithm for the problem of low recognition rate of synthetic aperture radar (SAR) target training, under the condition of insufficient tag data, translation, ...
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3D Automatic Target Recognition for Future LIDAR Missiles
... Automatic Target Recognition (ATR) systems and specifically future Light Detection and Ranging (LIDAR) missiles with ATR capabilities, must have a high true and low false positive recognition rate in ...
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Target recognition at the tips of postsynaptic filopodia: accumulation and function of Capricious
... a target recognition molecule with an extracellular domain containing leucine-rich repeat ...neuromuscular recognition: (1) CAPS, expressed as a GFP- fusion protein in M12, accumulated at the tips of ...
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Complex HRRP Target Recognition Based on Phase and Amplitude Fusion Analysis
... from target scatterers in each range cell, which represents the projection of the complex returned echoes from the target scattering centers onto the radar line-of-sight (LOS) [1, ...radar target ...
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A hierarchical propelled fusion strategy for SAR automatic target recognition
... automatic target recognition (ATR) is playing a very important role in military and civil ...Thus recognition using multiple classifiers fusion (MCF) has become a research hotspot in SAR ...the ...
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SAR target recognition based on improved joint sparse representation
... maximum recognition rate 98.535% with dimension 48. The max- imum recognition rates for JSRC and SRC are ...SAR target recognition systems hope a better recognition result with a lower ...
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Convolutional neural networks for radar HRRP target recognition and rejection
... automatic target recognition; ROC: Receiver operation characteristic; SCAE: Stacked corrective autoencoders; SCNN: CNN for spectrogram domain; SDAE: Stacked denoising autoencoder; STFT: Short-time Fourier ...
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High-Resolution Sonars: What Resolution Do We Need for Target Recognition?
... Target recognition in sonar imagery has long been an active research area in the maritime ...for target recognition based on autonomous ...for target recognition as demonstrated ...
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Concave-convex local binary features for automatic target recognition in infrared imagery
... Automatic target recognition (ATR) is an important and challenging problem for a wide range of military and civilian ...for target recognition and classification ...of target templates ...
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An Efficient Cloud based Image Target Recognition SDK for Mobile Applications
... Mobile devices are increasingly becoming an essential part of day to day life as the most effective and convenient communication tools not bounded by time and place. Mobile users accumulate rich experience of various ...
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A New Passive 3-D Automatic Target Recognition Architecture for Aerial Platforms
... automatic target recognition (ATR) has many advantages over its 2D counterpart, but there are several constraints in the context of small, low-cost unmanned aerial vehicles ...processing, target pose ...
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Index Terms - Kinect sensor; Target recognition and localization; Motion path planning; the robot NAO; Grasping target
... Abstract- Robot technology has become one of the most core technologies in the competition of overall national strength among countries in the world. Robot Grasping Technology, as one of the most important technologies ...
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Target Recognition Using of PCNN Model Based on Grid Search Method
... the recognition accuracy rate of the parameter combination in the local range is gradually ...highest recognition accuracy rate is lower than that of the third iteration, then take the third parameter ...
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Article A Memristor-based Cascaded Neural Networks for Specific Target Recognition
... Abstract: Multiply-accumulate calculations using a memristor crossbar array is an important method to realize neuromorphic computing. However, the memristor array fabrication technology is still immature, and it is ...
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An investigation into the accuracy and limitations of automatic target recognition in total stations
... The deflections recorded may appear insignificant however they could be highly detrimental to some survey applications such as a cadastral survey. These angular deviation errors are only exacerbated when traversing ...
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Biologically Inspired Target Recognition in Radar Sensor Networks
... In RSN, each radar can provide their pulse parameters such as timing to their clusterhead radar, and the clusterhead radar can combine the echos (RF returns) from the target and clutter. In this paper, we propose ...
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