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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >A knowledge-based system controlled by an iterative quadtree splitting scheme for segmentation of seismic sections
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A knowledge-based system controlled by an iterative quadtree splitting scheme for segmentation of seismic sections

机译：由迭代四叉树分裂方案控制的基于知识的系统，用于地震剖面的分割

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摘要

A knowledge-based system for the segmentation of seismic sections is presented. The system can be functionally divided into a texture feature extraction part and a knowledge-based segmentation part. An important characteristic of the proposed approach is the iterative quadtree splitting (IQS) scheme used to control the segmentation process. The final output of the system is a segmentation of the input section into regions (segments) of common signal character. Test runs of the system on a real seismic section from the Gulf of Mexico show that the introduction of domain expert geologic knowledge can significantly improve the overall segmentation. The IQS control scheme provides two functions essential to most knowledge-based image processing and interpretation systems: (1) the coordination of all parallel-operated processes over the entire section for an overall balanced resu and (2) the incorporation of various types of knowledge into the different levels of decision-making in those processes.
机译：提出了一种基于知识的地震剖面分割系统。该系统可以在功能上分为纹理特征提取部分和基于知识的分割部分。该方法的一个重要特征是用于控制分割过程的迭代四叉树分割（IQS）方案。系统的最终输出是将输入部分分割成具有共同信号特征的区域（段）。该系统在来自墨西哥湾的真实地震剖面上的测试运行表明，引入领域专家的地质知识可以显着改善整体分段效果。 IQS控制方案提供了大多数基于知识的图像处理和解释系统必不可少的两个功能：（1）协调整个部分的所有并行操作过程，以实现整体均衡的结果； （2）将各种类型的知识纳入这些过程的不同决策水平。

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