A Study on the Pattern Recognition of Sidescan Sonar Images using Artificial Neural Network
碩士 === 義守大學 === 資訊管理學系碩士班 === 94 === Currently, the search and detection of undersea objects mainly rely on the manual recognition of digital data obtained from optical, acoustic, or some other instruments, e.g., side scan sonar, bottom profiler, and magnetometer. For this purpose, large amounts of...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2006
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Online Access: | http://ndltd.ncl.edu.tw/handle/88014932228947761513 |