| 基于声纳图像纹理特征的海底底质分类方法研究 |
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| 引用本文： | 赵永祯,唐劲松,钟何平.基于声纳图像纹理特征的海底底质分类方法研究[J].海洋测绘,2015,35(3):60-63. |
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| 作者姓名： | 赵永祯 唐劲松 钟何平 |
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| 作者单位： | 1. 91388部队,广东湛江,524022
2. 海军工程大学电子工程学院,湖北武汉,430033 |
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| 摘 要： | 一般不同底质的海底声纳图的纹理特征不同。重点分析了不同底质声纳图像纹理特征的差异,为底质分类的实现提供了基础。并提取了海底声纳图像的灰度共生矩阵,将灰度共生矩阵的统计特征作为特征向量。最后应用自组织迭代(ISODATA)分类算法依据对特征向量进行分类,从而实现了海底底质的划分。
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| 关 键 词： | 海底底质分类 声纳图像 纹理 GLCM ISODATA |
Seabed Sediment Classification Based on Texture Features of Sonar Imagery |
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| ZHAO Yongzhen,TANG Jinsong,ZHONG Heping.Seabed Sediment Classification Based on Texture Features of Sonar Imagery[J].Hydrographic Surveying and Charting,2015,35(3):60-63. |
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| Authors: | ZHAO Yongzhen TANG Jinsong ZHONG Heping |
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| Institution: | 91388 Troops,Zhanjiang 524022 ,China;Electronic Engineering College,Naval University of Engineering,Wuhan 430033 ,China |
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| Abstract: | Different seabed sediment hasdifferent texture features.The paper focuses on the differences in differentsediment texture features which provide a foundation for the sediment classification.The GLCM is extracted fromsonar imagery of the seabed sediment classification and the statistical characteristics of GLCM are used as featurevectors.ISODATA classification algorithm is used for classifying feature vectors and the division of the seabedsediment is achieved in the end. |
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| Keywords: | seabed sediment classification sonar image texture GLCM ISODATA |
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