Utilization of new echo attributes for acoustic seabed classification and characterization

利用新的回波属性进行声学海底分类和表征

• 批准号: 354916-2007
• 负责人: Chapman, Ross
• 金额: $ 3.24万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2007
• 资助国家: 加拿大
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=365690
• 关键词: Utilization; new; echo; attributes; acoustic

The single-beam echosounder is a standard marine surveying tool that generates echo returns used to map seabed bathymetry. These echo returns also contain information about the seabed, both from energy scattered back from the seabed surface and from the sediment volume immediately below the seabed. In limited situations, sediment properties have been characterized by direct estimates from these echoes. However, a more practical approach utilized by acoustic seabed classification systems is to extract descriptive statistics known as features from seabed echoes. This approach is common to present day commercial systems. Seabed classification systems apply segmentation algorithms to sets of features to divide the seabed into segments of similar acoustic character. Through ground truth information, these segments are often successfully related to classes of seabed types.The goals of this project are to use theoretically based echo attributes to improve acoustic seabed classification, and to investigate sea bed characterization by estimating sea bed properties directly. The most promising of these attributes is echo duration, but others such as measures of relative echo amplitude/energy, measures of variability between sets or within single echoes and spectral characteristics such as moments of the power spectrum will be examined. These attributes may be related to seabed properties such as volume attenuation, seabed roughness, and acoustic impedance. Both simulated data generated with the widely accepted seabed backscatter model BORIS and groundtruthed field data from Patricia Bay will be used in this study.

单波束回声测深仪是一种标准的海洋测量工具，可生成用于绘制海底测深图的回波返回。这些回波返回还包含有关海床的信息，包括从海床表面散射回的能量和直接位于海床下方的沉积物体积。在有限的情况下，沉积物特性已通过这些回波的直接估计来表征。然而，声学海底分类系统采用的更实用的方法是从海底回波中提取称为特征的描述性统计数据。这种方法在当今的商业系统中很常见。海底分类系统将分割算法应用于特征集，将海底划分为具有相似声学特征的片段。通过地面实况信息，这些片段通常可以成功地与海底类型的类别相关联。该项目的目标是使用基于理论的回波属性来改进声学海底分类，并通过直接估计海底特性来研究海底特征。这些属性中最有前途的是回波持续时间，但其他属性（例如相对回波幅度/能量的测量、组之间或单个回波内的变异性测量）以及频谱特性（例如功率谱矩）将被检查。这些属性可能与海底特性有关，例如体积衰减、海底粗糙度和声阻抗。本研究将使用广泛接受的海底反向散射模型 BORIS 生成的模拟数据和来自帕特里夏湾的实地实地数据。