Automatic Target Classification Using Multiple Sidescan Sonar Images of Different Orientations
Abstract
In this report, the target classification performance of a multiple view side scan sonar is investigated. The classification statistics are estimated using model based automatic classifiers. The guidelines to the design of efficient classification algorithms are defined. The shadow is retained as the basic information for target classification. 'The input feature vector of the automatic classifier is the cross section(or height profile) of the target estimated from its shadow.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1997
- Accession Number
- AD1120709
Entities
People
- Antonio Guerrero
- B. Stage
- B. Zerr