| 引用本文: | 赵建虎,冯杰,施凤,张红梅,何林帮.图像信息熵约束的浅地层层界划分方法[J].哈尔滨工业大学学报,2017,49(8):165.DOI:10.11918/j.issn.0367-6234.201504135 |
| ZHAO Jianhu,FENG Jie,SHI Feng,ZHANG Hongmei,HE Linbang.Demarcation of the sub-bottom layers based on image information entropy constraint[J].Journal of Harbin Institute of Technology,2017,49(8):165.DOI:10.11918/j.issn.0367-6234.201504135 |
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| 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
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| 关键词: 浅地层剖面图像 浅地层层界及提取 二维熵 中误差系数 自适应层界提取 |
| DOI：10.11918/j.issn.0367-6234.201504135 |
| 分类号:P229 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(9,8,41576107) |
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| Demarcation of the sub-bottom layers based on image information entropy constraint |
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ZHAO Jianhu1,FENG Jie1,SHI Feng1,ZHANG Hongmei2,HE Linbang1
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（1.School of Geodesy and Geomatics, Wuhan University,Wuhan 430079, China; 2.Shool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China）
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| 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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| Key words: sub-bottom profiling sub-bottom layer and its extraction 2-D entropy coefficient of mean square error self-adaption extraction |
