Results 281 to 290 of about 739,642 (309)
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An integrated approach to passive target classification
Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002A comprehensive study of the issues involved in passive target classification is made. A quantitative procedure based on information theoretic concept is developed to evaluate the efficacy of the features to help in making correct decisions. The three well-known classification schemes, viz., the statistical classification, the expert system and the ...
R. Rajagopal 0001 +2 more
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Target classification by radar
IET Seminar on High Resolution Imaging and Target Classification, 2006Target classification by radar has enormous potential with many important applications. So far, with a couple of notable exceptions, this has proved to be an extremely challenging problem with no obvious solution. The chief method for improving the quality of information gathered has been to improve resolution in both range and cross-range dimensions ...
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Large Margin Classification for Moving Targets
2002We consider using online large margin classification algorithms in a setting where the target classifier may change over time. The algorithms we consider are Gentile's ALMA, and an algorithm we call NORMA which performs a modified online gradient descent with respect to a regularised risk.
Jyrki Kivinen +2 more
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Polarimetric laser radar target classification
Optics Letters, 2005Imaging laser radar (ladar) systems have been developed for automatic target identification in surveillance systems. Ladar uses the range value at the target pixels to estimate the target's 3-D shape and identify the target. For targets in clutter and partially hidden targets, there are ambiguities in determining which pixels are on target that lead to
Cornell S L, Chun, Firooz A, Sadjadi
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Fast target classification using sonar
Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180), 2002This paper describes a new sonar system that can perform target localisation in two dimensions and classification into planes, concave corners and convex edges with no extra time overhead, that is, the sensor transmits on two transmitters a short time apart, thereby collecting echoes in virtually the same time as a single transmitter of the system ...
Andrew Heale, Lindsay Kleeman
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Classification of Twitter Accounts into Targeting Accounts and Non-Targeting Accounts
Proceedings of the 27th ACM Conference on Hypertext and Social Media, 2016In this paper, we propose a method for classifying Twitter accounts into non-targeting accounts, which post messages to the general public, and targeting accounts, which post messages to specific people. For example, an account posting general news information is a non-targeting account, while an account posting announcements to members of a specific ...
Hikaru Takemura, Keishi Tajima
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Target Discrimination and Target Classification in Echolocating Bats
1988Geometrical and textural properties of reflecting targets result in a specific filtering of the echolocation sounds used by the various bat species. They are therefore represented in the temporal and spectral structure of the echoes. These echo features can be used as cues for target recognition, classification and discrimination.
J. Ostwald +2 more
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Machine Learning-Based Target Classification for MMW Radar in Autonomous Driving
IEEE Transactions on Intelligent Vehicles, 2021Xiuzhang Cai, Kamal Sarabandi
exaly