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Transformation Invariant On-Line Target Recognition
IEEE Transactions on Neural Networks, 2011Transformation invariant automatic target recognition (ATR) has been an active research area due to its widespread applications in defense, robotics, medical imaging and geographic scene analysis. The primary goal for this paper is to obtain an on-line ATR system for targets in presence of image transformations, such as rotation, translation, scale and
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Neural networks for automatic target recognition
Neural Networks, 1995Abstract Many applications reported in artificial neural networks are associated with military problems. This paper reviews concepts associated with the processing of military data to find and recognize targets—automatic target recognition (ATR). A general-purpose automatic target recognition system does not exist.
Steven K. Rogers +8 more
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Signal sequence recognition and protein targeting
Current Opinion in Structural Biology, 1999Intracellular traffic is often controlled not by highways, but by handshakes and partner introductions within a cellular network. Recently determined structures suggest how signal sequences are recognized and how the GTP affinities of the signal recognition particle and its receptor are coupled to the targeting of ribosomes to translocational membrane ...
R M, Stroud, P, Walter
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Symmetry in target recognition
2008 4th International Conference on Ultrawideband and Ultrashort Impulse Signals, 2008Symmetry has important consequences for target recognition. Rotation and reflection symmetry for targets near a ground or water surface not only help to identify the targets, but also aid in data processing to increase accuracy. While clutter (other scatterers) interfere with the target signatures, symmetry in the clutter can be used to suppress this ...
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Image Matting for Automatic Target Recognition
IEEE Transactions on Aerospace and Electronic Systems, 2017Features used in the classification of targets are generally based on the shape or gray-level information of the preprocessed target chip. Consequently, the performance of an automatic target recognition (ATR) system critically depends on the preprocessing result.
Hyun-Woong Cho +3 more
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Recognition of nascent polypeptides for targeting and folding
Trends in Biochemical Sciences, 1991A major difference between the refolding of proteins in vitro and the in vivo folding process, in which we include localization and assembly, is the need for additional factors in vivo, apart from the protein product itself. Thus, the amino acid sequence of a naturally selected protein contains not only the information specifying its three-dimensional ...
S J, Landry, L M, Gierasch
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Target Recognition Based on Mathematical Morphology
2007 10th IEEE International Conference on Computer-Aided Design and Computer Graphics, 2007A recognition algorithm for a type of coded target widely used in photogrammetry is presented in this paper. An efficient feature vector is first proposed to describe the targets, then mathematical morphological operations are used for clustering to location the the targets in the image.
Zuoping Chen +3 more
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Automated target recognition on SPLASH 2
Proceedings. The 5th Annual IEEE Symposium on Field-Programmable Custom Computing Machines Cat. No.97TB100186), 2002Automated target recognition is an application area that requires special-purpose hardware to achieve reasonable performance. FPGA-based platforms can provide a high level of performance for ATR systems if the implementation can be adapted to the limited FPGA and routing resources of these architectures. The paper discusses a mapping experiment where a
Michael Rencher, Brad L. Hutchings
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Target recognition in acoustics
The Journal of the Acoustical Society of America, 1988The classification/identification of underwater stationary objects can be acoustically achieved by means of passive or active sonar. Moving targets are the “easy case,” since they can be identified by their Doppler factor, and will not be discussed here.
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