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Sparsity-motivated automatic target recognition
Applied Optics, 2011We present an automatic target recognition algorithm using the recently developed theory of sparse representations and compressive sensing. We show how sparsity can be helpful for efficient utilization of data for target recognition. We verify the efficacy of the proposed algorithm in terms of the recognition rate and confusion matrices on the well ...
Vishal M, Patel +2 more
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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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Automatic target recognition in laser radar imagery
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002This paper presents an automatic target recognition (ATR) system for laser radar (LADAR) imagery, designed to classify objects at multiple levels of discrimination (target detection, classification, and recognition) from single LADAR images. Segmentation is performed in both the range and non-range LADAR channels and results combined to increase object
Magnús Snorrason +2 more
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Fusion of FLIR automatic target recognition algorithms
Information Fusion, 2003Abstract In this paper, we investigate several fusion techniques for designing a composite classifier to improve the performance (probability of correct classification) of forward-looking infrared (FLIR) automatic target recognition (ATR). The motivation behind the fusion of ATR algorithms is that if each contributing technique in a fusion algorithm (
Syed A. Rizvi, Nasser M. Nasrabadi
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Dualband FLIR fusion for automatic target recognition
Information Fusion, 2003Abstract We investigate the potential benefits of fusing two bands of forward-looking infrared (FLIR) data for target detection and clutter rejection. We propose a similar set of neural-based clutter rejecters and target detectors, each of which consists of an eigenspace transformation and a simple multilayer perceptron. The same architecture is used
LipChen Alex Chan +2 more
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Automatic target recognition of ground targets
2013An overview of the fundamentals of ground target recognition using SAR has been given. There is a tendency, when discussing ground target ATR, to consider only the most complex problems consisting of very many target classes and challenging clutter environments.
David Blacknell, Luc Vignaud
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A special-purpose computer for automatic target recognition
International Conference on Acoustics, Speech, and Signal Processing, 2003A description is given of Starloc (Sandia target Location computer) a special-purpose computer designed for automatic target recognition. It is motivated by the lock-and-tumbler (LAT) filter algorithm, a generalized matched filter that can detect targets regardless of variations in their appearance.
Leonard M. Napolitano Jr. +6 more
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Statistical inference for automatic target recognition systems
Applied Optics, 1994Traditionally, correlation-based target-recognition systems are evaluated by observation of the number of images successfully recognized and the errors made in the classification process. However, the rigorous use of hypothesis tests and confidence intervals in these evaluations does not appear with any regularity in the optics literature.
P, Mahalanobis, A, Mahalanobis
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2012
A wide variety of radar-based ATR systems and applications have been developed and documented in open literature. As different as these may seem on the surface, they all tend to revolve around four basic steps, labeled in this chapter as the unified framework for ATR. First, the target set must be identified.
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A wide variety of radar-based ATR systems and applications have been developed and documented in open literature. As different as these may seem on the surface, they all tend to revolve around four basic steps, labeled in this chapter as the unified framework for ATR. First, the target set must be identified.
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Automatic target recognition using a constructive approach
Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209), 2002This paper presents the use of constructive neural networks for pattern recognition. The work presented here is part of the SAPRI project (System for Acquisition, Processing and Image Recognition) which is being developed for the Brazilian Navy.
Ernesto Cuadros-Vargas +2 more
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