| 基于多波束背向散射数据的海底底质分类 |
| |
| 引用本文： | 罗伟东, 郭军. 基于多波束背向散射数据的海底底质分类[J]. 海洋地质前沿, 2017, 33(8): 57-62. doi: 10.16028/j.1009-2722.2017.08008 |
| |
| 作者姓名： | 罗伟东 郭军 |
| |
| 作者单位： | 中国地质调查局广州海洋地质调查局，广州 510760；国土资源部海底矿产资源重点实验室，广州 510075 |
| |
| 基金项目： | 中国地质调查局项目(DD20160138，DD20160140，GZH201400209)；国土资源部海底矿产资源重点实验室基金(KLMMR2012-A-15) |
| |
| 摘 要： | 基于精细处理后的多波束数据生成背向散射影像图，利用灰度纹理共生阵提取影像纹理特征参数，采用支持向量机的神经网络(SVM)对背向散射影像进行底质分类研究。通过实测大面积、海量数据对该方法进行评价和验证，结果表明，该方法可获得比传统分类方法更高的分类精度，这种面状的分类弥补了传统点状分类的缺陷，使得大规模、大范围、高效快速的海底底质分类成为可能，为海洋地质调查、海洋工程建设、海底矿产资源开发等提供一种新型的科学的技术方法和可靠的地质基础资料。
|
| 关 键 词： | 背向散射 海底底质分类 支持向量机 灰度共生矩阵 纹理特征 |
| 收稿时间： | 2017-05-05 |
SEABED SEDIMENT CLASSIFICATION BASED ON MULTIBEAM BACKSCATTER DATA |
| |
| LUO Weidong, GUO Jun. SEABED SEDIMENT CLASSIFICATION BASED ON MULTIBEAM BACKSCATTER DATA[J]. Marine Geology Frontiers, 2017, 33(8): 57-62. doi: 10.16028/j.1009-2722.2017.08008 |
| |
| Authors: | LUO Weidong GUO Jun |
| |
| Affiliation: | Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510760, China; Key Laboratory of Marine Resources, Ministry of Land and Resources, Guangzhou 510075, China |
| |
| Abstract: | This paper introduces a method for seabed sediment classification.At first, texture features are extracted by gray level co-occurrence matrix based on backscatter image of multibeam data, then seabed sediment classification is carried out with supporting vector machine(SVM) using the backscatter combined with backscatter image.The result of classification by this method is better than the traditional method based on point data according to our practice.It will certainly make the regional marine geological survey more efficient and reliable. |
| |
| Keywords: | backscatter seabed classification SVM GLCM texture features |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《海洋地质前沿》浏览原始摘要信息 |
|
点击此处可从《海洋地质前沿》下载全文 |
