浅剖数据解译中淤泥层层界提取方法
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摘要
港口与航道淤泥层层界确定对于港航建设开发与工程实施有着重大意义。本文针对港口航道浅地层剖面仪原始采集数据模糊的问题,分析了影响原始数据真实性的主要原因,实施了中值滤波法多次波压制与消噪处理,取得了清晰可靠的真实数据图像文件,根据海底声波不同层界反射特征,对比分析了脉冲信号声强图像变化情况,探讨了基于浅剖数据声强图像提取淤泥层厚的方法。试验证明该方法可以达到当前钻孔资料所能达到的精度范围。
Port and waterway silt layers determination is of great significance for the development and implementation of the harbor construction project. Based on the fuzzy problem of the original data collection of sub-bottom profiler,analyze the main reasons affecting the authenticity of the original data,process the median filter multiple attenuation and de-noising,clear and reliable real data image files have been obtained. According to the reflection characteristics of different layer boundaries of submarine acoustic wave,comparatively analyze the change of the sound intensity image of pulse signal,discuss the shallow profile data extraction method of sound intensity image based on silt layer. Experiments show that the boundary layer division method can achieve the current range of precision drilling data.
Port and waterway silt layers determination is of great significance for the development and implementation of the harbor construction project. Based on the fuzzy problem of the original data collection of sub-bottom profiler,analyze the main reasons affecting the authenticity of the original data,process the median filter multiple attenuation and de-noising,clear and reliable real data image files have been obtained. According to the reflection characteristics of different layer boundaries of submarine acoustic wave,comparatively analyze the change of the sound intensity image of pulse signal,discuss the shallow profile data extraction method of sound intensity image based on silt layer. Experiments show that the boundary layer division method can achieve the current range of precision drilling data.
引文
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[15]张军华,缪彦舒,郑旭刚,等.预测反褶积去多次波几个理论问题探讨[J].物探化探计算技术,2009,31(1):6-10.
[2]李平,杜军.浅地层剖面探测综述[J].海洋通报,2011,30(3):344-350.
[3]王方旗.浅地层剖面仪的应用及资料解译研究[D].青岛:国家海洋局第一海洋研究所,2010.
[4]薛长虎,聂桂根,汪晶.扩展卡尔曼滤波与粒子滤波性能对比[J].测绘通报,2016(4):10-14.
[5]李淑阔.淤泥层空间分布与水下淤积测定[D].济南:山东大学,2013.
[6]刘玉萍,丁龙翔,杨志成,等.利用浅剖资料进行海底底质分析[J].物探与化探,2016,40(1):66-72.
[7]耿帅.基于数学形态的图像去噪[D].济南:山东师范大学,2012.
[8]赵文胜,蒋弥,何秀凤.干涉图像第二类统计Goldstein自适应滤波方法[J].测绘学报,2016,45(10):1200-1209.
[9]赵铁虎.海底高分辨率声学探测及其应用[D].青岛:中国海洋大学,2011.
[10]李列,谢玉洪,李志娜,等.海上多次波压制与成像方法研究进展[J].地球物理学进展,2015,30(1):446-453.
[11]赵建虎,冯杰,施凤,等.基于图像处理技术的浅地层层界划分方法[J].中国矿业大学学报,2016,45(2):411-417.
[12]雍凡,罗水余,李颜贵,等.F-K变换与预测反褶积压制多次波效果对比[J].物探化探计算技术,2014,36(6):700-707.
[13]王彦江.多次波压制方法及应用研究[D].北京:中国地质科学院,2009.
[14]刘建辉.基于波动理论压制多次波方法研究[D].北京:中国石油大学,2010.
[15]张军华,缪彦舒,郑旭刚,等.预测反褶积去多次波几个理论问题探讨[J].物探化探计算技术,2009,31(1):6-10.