Top PDF Online Radar Target Recognition with Decoys
Online Radar Target Recognition with Decoys
... Target recognition, especially automatic target recognition without human help, is very chal- lenging since a radar provides only limited feedback regarding the ...detected with ...
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Automatic target recognition in SAR images using multilinear analysis
... aperture radar (SAR) images resulting from the interaction of multiple factors like sky luminosity and viewing angles, while preserving their original ...for target recognition in SAR ...tensor ...
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Characterization of deep neural network feature space for inverse synthetic aperture radar automatic target recognition
... 4 vectors constitutes a feature space, which can be visualized after reducing the dimensionality of the space to two dimensions. It has been shown in related fields that one can achieve high target classification ...
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Development of multiresolution hierarchical trees to non-cooperative target recognition
... Keywords: radar, target recognition, multiresolution, wavelet, clustering, hierarchical ...defense radar systems are detection, localization, but also identification of ...aircrafts. ...
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Development of multiresolution hierarchical trees to non-cooperative target recognition
... of radar systems is the opportunity to have more details characteristic of a specific ...coupled with a multiresolution wavelet representation to decrease the data size and the number of RCS signature ...
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Application of the multiresolution wavelet representation to non-cooperative target recognition
... obtained with a hard threshold (retained energy is largest) due to a better agreement between original and compressed range ...resolution radar target recognition ...
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Saliency Attention and SIFT Keypoints Combination for Automatic Target Recognition on MSTAR dataset
... We show in Table II the comparison between the proposed method and two other methods of feature extraction and description which are SIFT [16] and Sal-SIFT [18] in terms of average number of keypoints and matching times. ...
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Automatic target recognition with passive bistatic radars, with applications to the detection of anomalies in the civilian air traffic
... We designed, deployed, and successfully used an experimental passive radar testbed in the vicinity of the Orly Airport, south of Paris, France. The initial plan called for using two VOR (VHF Omni Range) navigation ...
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Automatic target recognition using passive bistatic radar signals
... enjoyed with them. I have had a particularly great time with Frédéric Brigui, Chin Yuan Chong, Jacques El-Khoury, Jérôme Euzière, Pierre Formont, Israël Hinostroza, Mélanie Mahot, Azza Mokadem, and Danny ...
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Radar Cross Section of Modified Target using Gaussian Beam Methods: Experimental Validation
... a target is illuminated by a Gaussian beam, the radiated field is calculated by decomposing it into a plane wave spectrum and then summing the contributions of the radiations of all beams interacting with ...
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Design of Robust Radar Detectors Through Random Perturbation of the Target Signature
... robust radar receivers to detect the possible presence of a coherent return from a given cell under test mismatched with respect to the nominal steering ...shares with it the CFAR ...deal with ...
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Generating Unsupervised Models for Online Long-Term Daily Living Activity Recognition
... in online mode following the same steps we have done for training ...label with label of the model corresponding to maximum ...perform online activity ...
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A procedure for launching a radar target balloon to achieve level flight
... L’accès à ce site Web et l’utilisation de son contenu sont assujettis aux conditions présentées dans le site LISEZ CES CONDITIONS ATTENTIVEMENT AVANT D’UTILISER CE SITE WEB. Report (Nati[r] ...
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A tree-BLSTM-based recognition system for online handwritten mathematical expressions
... expression recognition, using a Tree- based BLSTM architecture allowing the direct labelling of nodes (symbol) and edges (relationship) from a graph modelling the input ...difference with the traditional ...
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HBF49 feature set: A first unified baseline for online symbol recognition
... of recognition methods for isolated online ...for recognition of text (based on Latin alphabet, but also Asian, Indian, Arabic characters and so on), because their linguistic nature makes them beyond ...
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Optimized limited memory and warping LCSS for online gesture recognition or overlearning?
... gesture recognition technics in Human- Computer Interactions. Gesture recognition has be- come important in a wide variety of applications such as gesture-to-speech in sign languages (Kılıboz and Güdükbay, ...
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Eye tracking a self-moved target with complex hand-target dynamics
... cope with a situation in which the hand-target dynamics mimicked the visual behavior of a mass-spring ...the target behaving like a mass attached to the hand by means of a spring; however, haptic ...
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Eye tracking a self-moved target with complex hand-target dynamics
... copes with, and possibly learns, a complex mapping between hand actions and their visual ...tracking with their eyes the resulting target movement under the spring ...compared with eye ...
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Heterogeneous Face Recognition with CNNs
... CASIA NIR-VIS. This is the largest heterogeneous NIR-VIS face recognition dataset [11] and contains 17,580 visible spectrum and near-infrared images of 725 subjects. The images present variations in pose, age, ...
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Online Japanese Character Recognition Using Trajectory-Based Normalization and Direction Feature Extraction
... 5. Experimental Results To evaluate the performance of the proposed methods, we have experimented on the TUAT HANDS databases, kuchibue d-97-06 (kuchibue d or Kuchibue in brief) and nakayosi t-98-09 (nakayosi t or ...
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