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) : Ingold, Barry W


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a261926.pdf


Report Date : Dec 1992


Pagination or Media Count : 65


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 sonar's 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.


Descriptors :   *UNDERWATER VEHICLES , *UNDERWATER ACOUSTICS , *SONAR , *SONAR IMAGES , TEST AND EVALUATION , ALGORITHMS , MINE COUNTERMEASURES , NAVAL MINE WARFARE , THESES , IDENTIFICATION , IMAGES , RECOGNITION , UNDERWATER OBJECTS , ANTISUBMARINE WARFARE , SUBMARINE DETECTION , DECOYS , COORDINATES , HIGH RESOLUTION , COMPUTER ARCHITECTURE , ACOUSTIC DETECTION , TARGET RECOGNITION , SOFTWARE ENGINEERING


Subject Categories : Submarine Engineering
      Acoustic Detection and Detectors


Distribution Statement : APPROVED FOR PUBLIC RELEASE