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Image target classification detection
International Symposium on Artificial Intelligence and Robotics 2021, 2021With the rapid development of social networks and the increasing use of mobile devices, the data scale of digital images has increased sharply, and the dynamic detection of object categories has gradually become a research hotspot in the field of computer vision. The key problems of dynamic detection of object categories are summarized.
Lihong Dong +3 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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Resource-Constrained Target Classification on Distant Aerial Targets
2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2021As UAVs are expected to expand, there is a need to perform efficient target classification within a resource-constrained environment. This paper investigate developing, training, and testing custom classifier models. These lightweight models offer reduced computation resource consumption and processing delay while improving inference accuracy over ...
Nicholas A. Speranza +2 more
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Multi-perspective target classification
IEEE International Radar Conference, 2005., 2005Traditional radar classification is based on a single aspect view of the target. It is remarkably sensitive to the particular direction under which the target is sensed. A network of radars offers means of collecting backscattered radiation of a range of viewing angles.
M. Vespe, C.J. Baker, H.D. Griffiths
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Signature Based Radar Target Classification
2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), 2021This study attempts to categorize ten aerial targets, including fighter jets, missiles, military helicopters, and unmanned aerial vehicles (UAVs). A large dataset comprising of simulations of aerial targets at various aspect angles is taken rather than real-time data in order to attain higher accuracy and better classification.
R Sruthi Parvatha +5 more
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Classification with probabilistic targets
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012Modern robotic platforms, deployed for environmental monitoring and mapping, are able to rapidly accumulate large data sets. Whilst the data sets collected by these platforms are highly descriptive, they are often too large for human experts to analyse exhaustively.
Asher Bender +2 more
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A Possibilistic Approach to Target Classification
2000Abstract: This chapter describes an alternative to the Bayesian approach to target classification that is based on possibility theory. A possibilistic classifier minimizes the maximum cost of the classification decision taking into account the a posteriori possibilities of the target classes given the measured target attributes.
Huizing, A.G., Groen, F.C.A.
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Target classification strategies
SPIE Proceedings, 2015Target classification algorithms have generally kept pace with developments in the academic and commercial sectors since the 1970s. However, most recently, investment into object classification by internet companies and various Human Brain Projects have far outpaced that of the defense sector. Implications are noteworthy.
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