Accession Number:

ADA261926

Title:

Key Feature Identification from Image Profile Segments Using a High Frequency Sonar

Descriptive Note:

Master's thesis

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s):

Report Date:

1992-12-01

Pagination or Media Count:

65.0

Abstract:

Many avenues have been explored to allow recognition of underwater objects by a sensing system on an Autonomous Underwater Vehicle AUV. In particular, this research analyzes the precision with which a Tritech ST1000 high resolution imaging sonar system allows the extraction of linear features from its perceived environment. The linear extraction algorithm, as well as acceptance criteria for individual sonar returns are developed. Test results showing the actual sonar data and the sonars perceived environment are presented. Additionally, position of the sonar relative to the perceived image is determined based on the identification of key points in the scene.

Subject Categories:

  • Submarine Engineering
  • Acoustic Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE