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| 引用本文： | 何林帮,冯杰.????????????????????????????[J].大地测量与地球动力学,2015,35(1):140-144. |
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| 作者姓名： | 何林帮 冯杰 |
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| 作者单位： | 武汉大学测绘学院， 武汉市珞喻路129号， 430079 |
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| 基金项目： | 国家自然科学基金（41176068，41376109） |
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| 摘 要： | ???????????????????????????????????????????????????ALL????????????????洢????????????????????????ALL???????????????????????????????????????????е???????????γ?????????????????????????????????????????BP?????????????????????к????????????????????????????????Ч????????????????ò??????????????????
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| 关 键 词： | ALL?????? ?????BP?????? ??????? |
| 收稿时间： | 2014-02-12 |
The Key Technology of Seabed Sediment Classification System based on Echo Intensity |
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| HE Linbang,FENG Jie.The Key Technology of Seabed Sediment Classification System based on Echo Intensity[J].Journal of Geodesy and Geodynamics,2015,35(1):140-144. |
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| Authors: | HE Linbang FENG Jie |
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| Institution: | School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China |
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| Abstract: | First of all, the framework of sediment classification system based on echo intensity is introduced, The paper then analyzes storage structure and content of ALL format multibeam sonic data with multibeam sonar principles. It can decode ALL format data,and extract all kinds of data packets from ALL raw file by means of software developing.By means of a series of data preprocessing, it can create high-resolution sonic images based on a footprint envelope grid from these sonic data. In the end,the sediment classification is implemented with improved BP neural network in the sonic image.The experiment proves that it can obtain good effects for sediment classification with sonic image, and provide an accurate and reliable basis for submarine microgeomorphology recognition. |
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| Keywords: | ALL format file improved BP neural network sediment classification |
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