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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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An Effective Method for SAR Automatic Target Recognition
2010Since synthetic aperture radar (SAR) images are very sensitive to the pose variation of targets, SAR automatic target recognition (ATR) is a well-known very challenging problem. This paper introduces an effective method for SAR ATR by using a combination of kernel singular value decomposition (KSVD) and principal component analysis (PCA) for feature ...
Ying Li 0017, Hongli Gong
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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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Polarimetric IR automatic target detection and recognition
1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002Automatic detection and recognition of targets by means of passive IR sensors suffer from limitations due to lack of sufficient contrast between the targets and their background, and among the facets of a target. The results of a suite of polarization-sensitive automatic target detection and recognition algorithms on sets of simulated and real ...
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Automatic recognition of air targets
2013RDI is an aircraft target recognition technique, which has not been widely explored, but has potential for contributing to automatic air target recognition. The use of simultaneous range and frequency data has benefits in being able to localise aircraft propulsion systems along the range profile, which is not generally possible with other NCTR ...
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Foundations of Automatic Target Recognition
2006Abstract : The research funded under this grant focused on several key challenges arising in automatic target recognition (ATR) systems. The robust estimation of geometric features is a critical aspect of ATR systems and thus methods for robust boundary extraction and feature enhancement were developed based on both statistical modeling and compressed ...
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Hierarchical Open-Set Recognition for Automatic Target Recognition
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021Walter D. Bennette +3 more
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Automatic Target Recognition: Some Considerations
IEEE Transactions on Aerospace and Electronic Systems, 1966Machine analysis of aerial reconnaissance data is desirable. New acquisition techniques, equipment, and sensors, plus a growing demand for rapidly obtained, accurate information necessitate machine performance of tasks presently accomplished by observers and interpreters.
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Fuzzy whale optimisation algorithm: a new hybrid approach for automatic sonar target recognition
Journal of Experimental and Theoretical Artificial Intelligence, 2023Abbas Saffari +2 more
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