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Textural analysis and structure-tracking for geological mapping: applications to sonar images from Endeavour Segment, Juan de Fuca Ridge

机译:地质制图的纹理分析和结构跟踪:在来自胡安·德·富卡里奇的奋进段的声纳图像中的应用

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The volume of data collected by side-scan sonar during seafloor surveys has become larger and larger as the resolution of these systems has improved. As a result, new image processing techniques need to be developed to partly automate the interpretation of this increasing wealth of data. The first two steps in the geological analysis of a new image usually are the mapping of linear structures, and of morphologic units. These maps are then used in tectonic and geological interpretations. Linear features are detected by adaptive filtering. Their properties (length, direction, sinuosity, ...) are computed and quantified by the new structure tracking algorithm. Mapping of morphologic units is addressed by a textural analysis method, based on grey-level co-occurrence matrices. The authors have applied these techniques to high-resolution sonar images of the Endeavour Segment, Juan de Fuca Ridge. Separation of geologically meaningful regions can be easily attained using the authors' textural analysis method. Some regions fan be distinguished by numerical methods, whereas visual interpretation had to rely on supplementary data (photos, dives).
机译:随着这些系统的分辨率改善,在海底调查期间,通过侧扫声纳收集的数据量变得越来越大。因此,需要开发新的图像处理技术以部分自动化对此越来越丰富的数据的解释。新图像的地质分析中的前两个步骤通常是线性结构和形态单位的映射。然后在构造和地质解释中使用这些地图。通过自适应滤波检测线性特征。通过新的结构跟踪算法计算和量化它们的性质(长度,方向,圆形,......)。基于灰度共发生矩阵的纹理分析方法解决了形态学单元的映射。作者已经将这些技术应用于努力段的高分辨率声纳图像,Juan de Fuca山脊。使用作者的纹理分析方法可以轻松实现地质上有意义的区域的分离。一些地区风扇通过数值方法来区分,而视觉解释必须依赖于补充数据(照片,潜水)。

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