Accession Number:



Automatic Target Classification Using Multiple Sidescan Sonar Images of Different Orientations

Descriptive Note:

[Technical Report, Memorandum Report]

Corporate Author:

NATO, SACLANT Undersea Research Centre

Personal Author(s):

Report Date:


Pagination or Media Count:



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 sectionor height profile of the target estimated from its shadow.

Subject Categories:

  • Target Direction, Range and Position Finding
  • Acoustic Detection and Detectors

Distribution Statement:

[A, Approved For Public Release]