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- W8756225 abstract "Abstract : An automatic target classification system contains a classifier which reads a feature as an input and outputs a class label. Typically, the feature is a vector of real numbers. Other features can be non-numeric, such as a string of symbols or alphabets. One method of improving the performance of an automatic classification system is through combining two or more independent classifiers that are complementary in nature. This research proposes a design for a hybrid composite classification system, which exploits quantize integer valued features with a template matching classification schemes. This composite classification system is made up of independent classification systems which are combined over various fusion methods within a mathematical framework to produce optimal classifier performance. These two independent classification systems, which receive input from two separate sensors, are then combined over various fusion methods for the purpose of target identification. By using these two separate classifiers, we explore conditions that allow the two techniques to be complementary in nature, thus improving the overall performance of the classification system. We examine various fusion techniques, in search of the technique that generates the best results. We investigate different parameter spaces and fusion rules on example problems to demonstrate our classification system. Our examples consider various application areas to help further demonstrate the utility of our classifier. Optimal classifier performance is obtained using a mathematical framework, which takes into account decision variables based on decision-maker preferences and/or engineering specifications, depending upon the classification problem at hand." @default.
- W8756225 created "2016-06-24" @default.
- W8756225 creator A5023812567 @default.
- W8756225 date "2009-02-01" @default.
- W8756225 modified "2023-09-26" @default.
- W8756225 title "A Hybrid Template-Based Composite Classification System" @default.
- W8756225 hasPublicationYear "2009" @default.
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