Title: An Overview of Automatic Target Recognition Systems for Underwater Mine Classification
Volume: 5 - Issue: 01 - Date: 01-01-2016
Approved ISSN: 2278-1412
Published Id: IJAECESTU257 | Page No.: 801-804
Author: Naveen Kumar
Co- Author: Kamal Niwaria
Abstract:-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.
Key Words:-ATR,DST,SAS,CRM, Sonar Image,SAR
Area:-Engineering
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