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Construction of seafloor thematic maps from multibeam acoustic backscatter angular response data

机译:从多波束声后向散射角响应数据构建海底专题图

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摘要

An automatic approach for delineation of areas representing different acoustic facies is presented. A backscatter mosaic (a gray-scale image) is oversegmented, honoring all possible boundaries, both real and false (acquisition and construction artifacts), in order to separate relatively homogeneous and contiguous groups of pixels of the mosaic, which are called segments. The size of the segments is chosen such that each one is considered to represent a single acoustic facies. These segments are then joined together to end up with a predefined number of "acoustic themes," in a process called coalescence. The difference between "facies" and "theme" is that the former represents an abstract type of seafloor, and the latter, an area (or areas) selected manually or automatically with common seafloor properties. Ideally, one theme would correspond to a single facies. Themes that are used for assignment to segments are chosen prior to coalescence, either manually or by one of the three automatic methods proposed in the paper. The process of coalescence of segments is based on all acoustic data associated with each segment (not just data used for mosaic construction), their proximity and shape. Results of segmentation are unbiased but depend on a specific goal that the user is trying to achieve.
机译:提出了一种用于描绘代表不同声相的区域的自动方法。背向散射马赛克(灰度图像)被过分分割,遵守所有可能的边界,包括真实和虚假的(获取和构造伪像),以便分离马赛克的相对均匀和连续的像素组,这些像素组称为段。选择段的大小,使得每个段被认为代表一个单一的声相。然后,在称为合并的过程中,将这些段连接在一起以得到预定义数量的“声学主题”。 “相”和“主题”之间的区别在于,前者代表海底的抽象类型,后者代表具有共同海底特性的手动或自动选择的一个或多个区域。理想情况下,一个主题将对应一个相。在合并之前,可以手动或通过本文提出的三种自动方法之一选择用于分配给段的主题。段的合并过程基于与每个段关联的所有声学数据(而不仅仅是用于镶嵌构造的数据),它们的接近度和形状。细分的结果是无偏见的,但取决于用户试图实现的特定目标。

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