Cross-Track Seabed Imaging and Buried Object Detection With a Multibeam Sonar

IF 3.8 2区 工程技术 Q1 ENGINEERING, CIVIL
Charles W. Holland;Samuel Pinson;Daniel L. Orange;Cody R. Henderson
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引用次数: 0

Abstract

What lies underneath the ocean floor is of interest to a wide variety of disciplines. The focus here is imaging the upper tens of meters of material beneath the seafloor. The sub-bottom profiler is a valuable tool to that end, producing a 2-D image in depth below the seafloor and along the track of the ship. Geoscientists and engineers are frequently interested in not only the subseabed beneath the ship but also either side or cross-track of the ship. We show an approach to cross-track imaging using a low-frequency multibeam sub-bottom profiler. The main result is the detection of a buried 0.2-m diameter pipeline at a range of nearly 1-km cross-track from the ship in 230-m water depth. This is a swath width coverage of eight times the water depth or nominally an angular range of ±76° from nadir. These results have implications not only for buried object detection but also for other potential applications including exploring seabed spatial variability.
多波束声纳跨航迹海底成像与埋地目标探测
很多学科都对海底下的东西感兴趣。这里的重点是对海底下面几十米深的物质进行成像。海底剖面仪是一个很有价值的工具,它可以沿着船舶的轨迹在海底深处产生二维图像。地球科学家和工程师经常不仅对船下的海底,而且对船的两侧或交叉轨道感兴趣。我们展示了一种使用低频多波束亚底剖面仪进行交叉轨迹成像的方法。主要结果是在230米水深的距离船舶近1公里的横轨范围内发现了一条直径为0.2米的埋管。这是一个宽度覆盖八倍的水深或名义上的角度范围±76°从最低点。这些结果不仅对埋藏目标的探测有影响,而且对其他潜在的应用也有影响,包括探索海底空间变异性。
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来源期刊
IEEE Journal of Oceanic Engineering
IEEE Journal of Oceanic Engineering 工程技术-工程:大洋
CiteScore
9.60
自引率
12.20%
发文量
86
审稿时长
12 months
期刊介绍: The IEEE Journal of Oceanic Engineering (ISSN 0364-9059) is the online-only quarterly publication of the IEEE Oceanic Engineering Society (IEEE OES). The scope of the Journal is the field of interest of the IEEE OES, which encompasses all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
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