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Seabed Classification Based On The EM3000 Multibeam System & Software Development

Posted on:2016-02-26Degree:MasterType:Thesis
Country:ChinaCandidate:C Z JiaFull Text:PDF
GTID:2180330461995764Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
Based on the characteristics of wide-coverage of the seabed, many types of collected data, high-density data, the multi-beam sounding system is widely used in the hydrographic surveying. Thus, many countries in the world have invested substantial manpower and financial resources in the study of multibeam systems and mulitbeam data processing in recent decades and receive fruitful results. However, because of the plentiful information in the data package and the variety of its data formats, the data processing of multibeam is becoming more and more difficult and dizzy. The noise mixed in the echo intensity data of the multibeam also roughly affects the quality of data and its applications. How to acquire high-quality data has become vital in the echo intensity data processing of multibeam.Firstly, the principle of the seabed sediment classification and the EM3000 multibeam sounding system are introduced; then the data processing technique of the multibeam echo intensity extraction, integration, processing, and sonar images have been mainly studied in the paper; After the feature parameters extraction, combined with neural network and cluster analysis algorithm, the seabed sediment distribution can be obtained, and software to process multi-beam echo intensity data has been developed. Finally, the software of seabed sediment classification based on multibeam echo intensity has been achieved. This research and innovation are:1. To solve the problem of the flood of echo intensity data and its variety formats, Pixel-based fusion method which is a convenient to the data processing is given. Thus,the collation of scattered data can be achieves.2. Software has been developed to achieve the echo intensity data processing.
Keywords/Search Tags:echo intensity data, data structure, data fusion, seabed sediment classification
PDF Full Text Request
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