多波束水体数据对台西南盆地天然气水合物的揭示   总被引：1，自引：1，他引：0  

陈义兰  丁继胜  张海泉  唐秋华  周兴华  刘晓瑜 《海洋学报(英文版)》2019,38(5):129-133

在台西南盆地陆坡上进行了多波束测量，获取了海底地形数据和水体数据。对多波束数据进行处理，展示了多波束水体数据形成的声学水柱影像。研究表明：在台西南盆地天然气水合物富集区，多波束水柱影像异常，呈现羽状流特点，揭示了台西南盆地的天然气资源，多波束声呐系统为探测海底天然气水合物提供了精确高效的方法。  相似文献   

中国温带海域新发现较大面积(大于0.5km2)海草床:Ⅱ声呐探 测技术在渤海唐山沿海海域发现中国面积最大的鳗草海草床     

周毅  许帅  徐少春  岳世栋  顾瑞婷  张晓梅  许敏  张玉  张云岭  张振海 《海洋科学》2019,43(8):50-55

近些年来随着生境的破坏其分布面积急遽下降,较大面积连续分布的海草床已经非常少见。本研究首次将声呐探测技术应用到海草床时空分布特征的相关研究中,在河北唐山乐亭-曹妃甸沿海发现目前中国面积最大的鳗草(Zostera marina)海草床,海草床面积高达29.17 km~2,绘制了鳗草分布图和水深分布图,并对鳗草生物量和茎枝高度等基本生物学指标进行了调查。该发现极大丰富了中国海草数据库,并为鳗草的深入研究及保护提供了得天独厚的实验基地,也为周边海洋牧场的构建打下良好的基础。  相似文献   

一种联合单波束测深的侧扫声呐海底线提取方法     

库安邦  周兴华  王方旗  唐秋华 《海洋通报》2019,38(1):47-52

论述了侧扫声呐的成像原理，针对目前常用侧扫声呐系统数据采集的相关特性，结合实际工程应用，提出了一种联合单波束测深的侧扫声呐海底线提取新方法，以便在数据后处理时进行快速准确地斜距改正。利用实测数据验证了该方法的有效性，并与成熟商用软件的提取结果和阈值法提取结果进行对比分析，结果表明该方法具有一定的可行性和优势。  相似文献   

基于侧扫声呐影像的南海珊瑚礁沉船及周边地形重建     

刘小菊  施祺  杨红强  周胜男 《热带地理》2020,40(2):278-288

利用南海某珊瑚礁区所获得的一艘沉船的单幅侧扫声呐影像,定量重建了沉船及其周边地形。沉船区侧扫声呐数据经过格式转换、影像生成、水体去除、影像增益校正和坐标转换等预处理后,采用明暗恢复形状（Shape From Shading, SFS）方法反演声呐影像的水深,获得沉船区的水下地形数据,重建了该区域的三维地形地貌。结果显示,沉船位于珊瑚礁西侧礁坡区,该区为典型的礁坡地貌形态,由东向西水深递增,变化于-1.8~-165.4 m之间,按水深和坡度的不同可划分为地势较平缓的两级阶地和地势陡峭的两级坡地。沉船坐底于礁坡第二级阶地（宽约87 m,平均水深约-26.7 m,平均坡度约5.7°）,船体呈EES—WWN走向,长约45 m,宽约9 m,高约4 m,排水量估计为500~600 t,船体残破。利用侧扫声呐影像开展地形地貌的定量反演和重建是对侧扫声呐影像地形地貌定性分析的有效补充,能更全面、更详细地揭示珊瑚礁地形地貌的特征。  相似文献   

海底浅表层信息声探测技术研究现状及发展   总被引：8，自引：0，他引：8  

吴自银  郑玉龙  初凤友  陶春辉  高金耀 《地球科学进展》2005,20(11):1210-1217

回顾了我国海洋仪器研发的历史,综述并对比了多波束测深、侧扫声呐和浅层剖面仪等海底浅表层信息声呐探测技术的国内外研究现状:经过数十年的海洋技术研发,国内在设备研发、数据资料处理方法研究和探测数据资料应用研究等方面已取得了较丰硕的研究成果,但同时也发现在当前国内海洋技术研发中仍存在一些潜在的问题,与国外相关海洋技术尚存在一定差距。以维护海洋权益为目标的系列重大海洋基础勘测项目的启动和深海资源勘查及研究的纵深发展是近年海洋技术得以快速发展的源动力。声学底质分类、声学海底原位测试、动力地貌和构造地貌等是目前海底浅表层声探测信息资料应用于海底科学研究的热点。对海洋技术的可持续发展提出了几点建议：①提高理论研究水平;②加快仪器设备研制的国产化进程;③加强自主知识产权数据处理软件的研发;④进行探测数据资料的深层次利用研究。  相似文献   

基于平移不变小波变换的多普勒速度声纳输出信号处理     

王其  杨常松 《南京气象学院学报》2011,(1):67-71

针对水下航行器组合导航系统所使用的多普勒速度声纳输出信号的特点,采用了平移不变小波变换的多分辨率分析的方法,利用Daubechies小波函数,采用了半软阈值去噪的方法,能够在低信噪比的情况下准确地估计多普勒声纳的频移,从含有噪声的多普勒输出信号中提取出原始信号．通过仿真实验表明:采用4层小波分解,算法计算量减小,有效地消除多普勒噪声,从而提高水下组合导航系统的精度．  相似文献   

Acoustic seabed segmentation from direct statistical clustering of entire multibeam sonar backscatter curves   总被引：3，自引：0，他引：3  

L.J. Hamilton  I. Parnum 《Continental Shelf Research》2011,31(2):138-148

A fast, simple method is presented to obtain acoustic seabed segmentation from multibeam sonar backscatter data, for situations where processed backscatter curves are already available. Unsupervised statistical clustering is used to classify multibeam sonar backscatter curves in their entirety, with the curves essentially treated as geometrical entities. High variability in the backscatter curves is removed by along-track averaging prior to clustering, and no further preprocessing is required. The statistical clustering method is demonstrated with RESON 8125 multibeam sonar data obtained in two bathymetrically complex environments. These are a sandwave field in Keppel Bay, Queensland, and an area of inter-island sand, reef, seagrass, and rhodolith beds in Esperance Bay, Western Australia. The resulting acoustic charts are visually compelling. They exhibit high spatial coherence, are largely artifact free, and provide spatial context to comparatively sparse grab samples with relatively little effort. Since the backscatter curve is an intrinsic property of the seafloor, the mappings form standalone charts of seafloor acoustic properties. In themselves they do not need ground truthing. Conceptually, use of the full angular backscatter curve should form the primary means of obtaining acoustic seabed segmentation. However, this is dependent on the scale and configuration of seabed backscatter features compared to the dimensions of the averaged swathe used to obtain reliable realisations of the backscatter curve.  相似文献   

Investigating Propagation of Short-Period Ocean Waves Into the Periphery of Arctic Pack Ice Using High-Resolution Upward-Looking Sonar     

Matthew G. Asplin  John Marko  David B. Fissel  Keath Borg 《大气与海洋》2018,56(3):152-161

Springtime fetch in the Cape Bathurst Polynya System may present opportunities for winds to generate waves capable of propagating into the thick pack ice formed over the winter. A waves-in-ice event at a study site located on the Canadian Shelf in the southern Beaufort Sea that occurred 22–23 May 2011 is presented and analyzed for wave energy attenuation and dissipation characteristics. The event was monitored near the ice edge and, therefore, presents information on attenuation of waves from the ice edge into the pack. Waves of T?=?5?s, λ?=?37.5?m were observed up to approximately 143?m and approximately 77?m away from the ice edge during two separate observation periods of ice edge wave propagation. We estimated reflection coefficients of 53% and 52% and wave attenuation coefficients of α?=?2.4?×?10^?2?m^?1 and α?=?5.4?×?10^?2?m^?1, respectively, for the two periods. Estimated attenuation rates are an order of magnitude greater than in comparable studies and are inconsistent with previous findings of a “rollover” effect in attenuation rates for short-period waves.  相似文献   

Seafloor sediment classification based on multibeam sonar data     

Zhou Xinghua  Chen Yongqi 《地球空间信息科学学报》2013,16(4):290-296

The multibeam sonars can provide hydrographic quality depth data as well as hold the potential to provide calibrated measurements of the seafloor acoustic backscattering strength. There has been much interest in utilizing backscatters and images from multibeam sonar for seabed type identification and most results are obtained. This paper has presented a focused review of several main methods and recent developments of seafloor classification utilizing multibeam sonar data or/and images. These are including the power spectral analysis methods, the texture analysis, traditional Bayesian classification theory and the most active neural network approaches.  相似文献   

基于改进 GLCM 的侧扫声纳影像分类研究     

郭军  马金凤  王爱学 《测绘工程》2016,25(6):6-9

提出一种基于改进GLCM的算法IGLCM用于侧扫声纳影像的分类,IGLCM反映像素与其邻域像素的灰阶联合分布,全面描述像素与其邻域像素所在区域的纹理特征。利用GLCM和IGLCM分别提取4种纹理特征,应用支持向量机对侧扫声纳海底底质进行分类。研究结果表明,IGLCM分类精度优于GLCM,更适合侧扫声纳分类。  相似文献