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Multi-View CNN-LSTM Neural Network for SAR Automatic Target Recognition
IEEE International Geoscience and Remote Sensing Symposium, 2020Synthetic aperture radar (SAR) has always received wide attention for its developing performance in military and civil applications. SAR automatic target recognition (ATR) is an important research field of the SAR application with the growing number and ...
Chenwei Wang +4 more
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SEMI-AUTOMATIC TARGET RECOGNITION DEVICE
1963Abstract : A summary of the work to develop techniques for machine recognition of targets on aerial reconnaissance photographs and to construct a device which demonstrates the feasibility of these techniques is presented. The results of the study ph this procurement led to the choice of a parametric approach to target recognition and the decision to ...
G. Sebestyen, A. Manevitz
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IEEE Transactions on Aerospace and Electronic Systems, 2020
Inverse synthetic aperture radar (ISAR) is capable of producing 2-D and 3-D images of non-cooperative targets. Compared with 2-D ISAR images, 3-D ISAR reconstructions can provide not only range and cross-range information, but also the information about ...
Jinjian Cai +5 more
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Inverse synthetic aperture radar (ISAR) is capable of producing 2-D and 3-D images of non-cooperative targets. Compared with 2-D ISAR images, 3-D ISAR reconstructions can provide not only range and cross-range information, but also the information about ...
Jinjian Cai +5 more
semanticscholar +1 more source
Automatic target recognition with Chebychev networks
IJCNN-91-Seattle International Joint Conference on Neural Networks, 1991Summary form only given. Presents a connectionist automatic target recognition (ATR) system with a novel network architecture, Chebychev neural networks. The architecture of the connectionist ATR consists of a Chebychev network module, a conjunctive network module, and a classification network module.
A. Namatame, N. Ueda
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A prospectus for automatic target recognition
IEEE Transactions on Aerospace and Electronic Systems, 1989Aspects of autorecognition technology are discussed. The following topics are covered: The context and role of automatic target recognition (ATR), sensors and ATR systems, generic shape discrimination, countermeasures, and current capabilities. The authors conclude that the material supports a very favorable assessment of the power and importance of ...
W.M. Brown, C.W. Swonger
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Aerial and ground vehicles synthetic SAR dataset generation for automatic target recognition
Defense + Commercial Sensing, 2020Synthetic Aperture Radar (SAR) technology offers innovative remote sensing opportunity for the area of surveillance applications. However, for the Automatic Target Recognition (ATR) of aerial and ground vehicles from SAR data, there is a need for large ...
Ali Ahmadibeni +3 more
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Automatic Target Recognition with Bayesian Networks
IFAC Proceedings Volumes, 1996Abstract This paper presents a general framework for automatic target recognition using a feature-based Bayesian inference approach. The approach works on selected features. Using a Bayesian network as a representation of the joint probability distribution of the data, the network structure can be either constructed by expert knowledge or learned ...
Jun Liu, Kuo-Chu Chang
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Open Set Incremental Learning for Automatic Target Recognition
IEEE Transactions on Geoscience and Remote Sensing, 2019Incremental learning methods update the existing model with new knowledge when the target data increase continuously. Open set recognition (OSR) algorithms provide classifiers with a rejection option so that the new untrained target type is identified ...
Sihang Dang +4 more
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Automatic Target Recognition with Dynamic Reconfiguration
Journal of VLSI signal processing systems for signal, image and video technology, 2000This paper describes the acceleration of an infrared automatic target recognition (IR ATR) application with a co-processor board that contains multiple field programmable gate array (FPGA) chips. Template and pixel level parallelism is exploited in an FPGA design for the bottleneck portion of the application.
Jack Jean +4 more
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