Demarcation of the sub-bottom layers based on image information entropy constraint

ZHAO Jianhu; FENG Jie; SHI Feng; ZHANG Hongmei; HE Linbang

doi:10.11918/j.issn.0367-6234.201504135

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Demarcation of the sub-bottom layers based on image information entropy constraint

更新时间：2026-10-19

- Demarcation of the sub-bottom layers based on image information entropy constraint
- Vol. 49, Issue 8, Pages: 2017-8(2017)
- 作者机构：
  
  1. 武汉大学测绘学院,武汉,430079
  2. School of Geodesy and Geomatics, Wuhan University,Wuhan,China,430079
  3. 武汉大学动力与机械学院,武汉,430072
- 作者简介：
- 基金信息：
- DOI：10.11918/j.issn.0367-6234.201504135
  CLC： P229
- Published：2017
- 稿件说明：
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ZHAO Jianhu, FENG Jie, SHI Feng, et al. Demarcation of the sub-bottom layers based on image information entropy constraint[J]. 2017, 49(8): 2017-8.
DOI：

ZHAO Jianhu, FENG Jie, SHI Feng, et al. Demarcation of the sub-bottom layers based on image information entropy constraint[J]. 2017, 49(8): 2017-8. DOI： 10.11918/j.issn.0367-6234.201504135.

摘要

为实现快速、精确、自动化、智能化的海底浅地层层界提取

克服传统浅地层层界在复杂海洋环境下提取时的低效、模糊、主观性等缺点

提出一种基于图像信息熵约束的浅地层层界划分方法.首先

将浅剖图像分割为不同区块；然后

在不同区块计算信息熵

并结合钻孔数据

建立信息熵与显著性参数关系模型；最后

据此模型对整个浅剖图像进行层界划分.研究表明

该方法克服了现有方法的不足

实现了浅地层剖面层界的自适应、准确划分

试验中取得了与钻孔层界深度、厚度同量级的精度.由此可知采用图像信息熵约束进行层界提取

可以实现浅地层层界提取的自动化与智能化

Abstract

To address the issue of the sub-bottom profile layer extraction in complex circumstance

this paper proposes a new demarcating method based on constraint of image information entropy. Firstly

the image of sub-bottom is divided into different blocks; then

the information entropy in each block is calculated and a relation model of information entropy and significant parameters are established according to drilling data; finally

the whole sub-bottom profiling is demarcated according to the model. It is revealed that this method has overcome the shortcomings of existing methods

realized the self-adapting and exacted demarcation of sub-bottom layers. The experiment has gained the same accuracy as the depth and thickness of layers got by drilling data.

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