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Configurable computing solutions for automatic target recognition
Proceedings IEEE Symposium on FPGAs for Custom Computing Machines FPGA-96, 1996FPGAs can be used to build systems for automatic target recognition (ATR) that achieve an order of magnitude increase in performance over systems built using general purpose processors. This improvement is possible because the bit-level operations that comprise much of the ATR computational burden map extremely efficiently into FPGAs, and because the ...
John D. Villasenor +7 more
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Automatic target recognition employing signal compression
Applied Optics, 2007Quadratic correlation filters (QCFs) have been used successfully to detect and recognize targets embedded in background clutter. Recently, a QCF called the Rayleigh quotient quadratic correlation filter (RQQCF) was formulated for automatic target recognition (ATR) in IR imagery.
Ragothaman, Pradeep +3 more
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Polarimetrically-Persistent-Scatterer-Based Automatic Target Recognition
IEEE Transactions on Geoscience and Remote Sensing, 2011Reliable automatic target recognition (ATR) systems based on inverse synthetic aperture radar (ISAR) images require a robust feature selection. An ATR system based on polarimetric ISAR images has been recently proposed that extracts bright scatterers and uses their polarimetric signatures to define classification features. Since bright scatterers could
Elisa Giusti +2 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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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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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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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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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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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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