Analysis report of Contributions to Automatic Target Recognition Systems for Underwater Mine Classification
Volume: 6 - Issue: 02 - Date: 01-02-2017
Approved ISSN: 2278-1412
Published Id: IJAECESTU290 | Page No.: 122-125
Author: Nidhi Singh
Co- Author: Vishnu Dutt Tripathi
Abstract:-A many original contributions to an automatic target recognition (ATR) system, that is
applied to underwater mine classification. The classification of real-world empirical targets using
sensed imagination into different perceptual categories is one in all the most difficult algorithmic
elements of radar systems. The contributions think about feature selection and object
classification. First, a complicated filter technique is designed for the feature selection. This filter
technique utilizes a unique feature relevance measure, the composite relevance measure (CRM).
The contributions consider feature selection and object classification. The design of one
classification system that was optimized in 2 elementary aspects: the selection of the classification
system and also the selection of the optimal feature subset. ATR system is applied to real synthetic
aperture sonar imagination to evaluate its performance
Key Words:-Automatic target recognition (ATR), Dempster–Shafer theory (DST), ensemble learning, filter method for feature selection, synthetic aperture sonar (SAS).
Area:-Engineering
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