| 基于最优特征集的HY-1C卫星海岸带成像仪影像海冰分类方法研究 |
| |
| 引用本文： | 臧金霞,刘建强,殷晓斌,曾韬,周磊.基于最优特征集的HY-1C卫星海岸带成像仪影像海冰分类方法研究[J].海洋学报,2022,44(5):35-46. |
| |
| 作者姓名： | 臧金霞 刘建强 殷晓斌 曾韬 周磊 |
| |
| 作者单位： | 1.航天宏图信息技术股份有限公司，北京 100195 |
| |
| 基金项目： | 国家重点研发计划（2018YFB054900）； |
| |
| 摘 要： | 基于海洋一号C（HY-1C）卫星海岸带成像仪（CZI）遥感影像，提出了一种基于最优特征集的支持向量机海冰分类方法。分别提取CZI影像的光谱特征和纹理特征，采用基于距离可分性的判据进行特征选择，得到最优特征集，以最优特征集作为支持向量机分类器输入，分别对3期辽东湾海域CZI影像开展海冰分类实验和结果分析。结果表明:本文方法得到的海冰分类结果精度优于仅利用光谱特征或纹理特征的海冰分类精度；基于本文方法的3期影像的海冰分类精度均较高，2020年12月19日、2021年1月10日与2021年1月16日的海冰分类总体精度分别为93.67%、91.75%、84.89%，均在80%以上；利用海冰分类结果图估算海冰面积，发现3期辽东湾海冰面积依次增大，最大约为11 998.98 km2。
|
| 关 键 词： | 海洋一号C卫星 光谱特征 纹理特征 最优特征集 海冰分类 |
| 收稿时间： | 2021-03-03 |
Study on sea ice classification of HY-1C satellite coastal zone imager images based on the optimal feature set |
| |
| Zang Jinxia,Liu Jianqiang,Yin Xiaobin,Zeng Tao,Zhou Lei.Study on sea ice classification of HY-1C satellite coastal zone imager images based on the optimal feature set[J].Acta Oceanologica Sinica (in Chinese),2022,44(5):35-46. |
| |
| Authors: | Zang Jinxia Liu Jianqiang Yin Xiaobin Zeng Tao Zhou Lei |
| |
| Institution: | 1.PIESAT Information Technology Co., Ltd., Beijing 100195, China2.National Satellite Ocean Application Service, Beijing 100081, China |
| |
| Abstract: | A support vector machine (SVM) sea ice classification method of Haiyang-1C (HY-1C) satellite coastal zone imager (CZI) images based on the optimal feature set is proposed in this paper. The spectral features and the texture features of CZI images are extracted, and then distance separability criterion is used for feature selection to obtain the optimal feature set. The sea ice classification experiment and analysis of the three CZI images of Liaodong Bay are carried out based on SVM classification method with the optimal feature set as the input of the classifier. The results show that the sea ice classification accuracy obtained by the proposed method is better than that of only using the spectral features or the texture features. The sea ice classification accuracy of December 19, 2020, January 10, 2021 and January 16, 2021 are 93.67%, 91.75% and 84.89%, respectively, all above 80%. The sea ice area of Liaodong Bay is estimated according to the sea ice classification map. It is found that the sea ice area of Liaodong Bay in the three images increased successively, and the maximum area is about 11 998.98 km2. |
| |
| Keywords: | |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《海洋学报》浏览原始摘要信息 |
| 点击此处可从《海洋学报》下载免费的PDF全文 |
|
