An Overview of Automatic Target Recognition Systems for Underwater Mine Classification

The classification of real-world empirical targets using sensed imagery into different perceptual classes is one of the most challenging algorithmic components of radar systems. The contributions concentrate on feature selection and object classification. First, a sophisticated filter method is designed for the feature selection. This filter method utilizes a novel feature relevance measure, the composite relevance measure (CRM). The contributions concentrate on feature selection and object classification. The design of a single classification system, which was optimized in two fundamental aspects: the choice of the classification system and the selection of the optimal feature subset. Keywords— ATR,DST,SAS,CRM, Sonar Image,SAR

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