Iterative Filtering and Structural Features for Hyperspectral Image Classification with Limited Samples | |
Wang, Wenning1,2,3; Liu, Xuebin2; Mou, Xuanqin1; Sun, Li3 | |
作者部门 | 光谱成像技术研究室 |
2018-11-02 | |
发表期刊 | CANADIAN JOURNAL OF REMOTE SENSING |
ISSN | 0703-8992;1712-7971 |
卷号 | 44期号:6页码:575-587 |
产权排序 | 1 |
摘要 | Hyperspectral classification with limited training samples is challenging. The current work lies in two aspects: first, we change the statistical distribution of samples by iterative filtering based on the guide images. The filter is called a Simplified Bilateral Filter (SBF), which is a modified bilateral filter for clustering samples. Secondly, new structural convolution kernels are used to generate new hyperspectral data. Finally, the class label of the test sample after dimension reduction is determined by OMP classification or SVM classification. Experimental results on two hyperspectral datasets demonstrate the effectiveness of the proposed feature extraction method in improving classification accuracy with limited training samples. |
DOI | 10.1080/07038992.2019.1572500 |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000463914400002 |
出版者 | TAYLOR & FRANCIS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/31379 |
专题 | 光谱成像技术研究室 |
通讯作者 | Wang, Wenning |
作者单位 | 1.Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian, Shaanxi, Peoples R China 2.Xian Inst Opt Precis Mech CAS, Key Lab Spectral Imaging Technol, Xian, Shaanxi, Peoples R China 3.Shandong Agr Univ, Sch Informat Sci & Engn, Tai An, Shandong, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Wenning,Liu, Xuebin,Mou, Xuanqin,et al. Iterative Filtering and Structural Features for Hyperspectral Image Classification with Limited Samples[J]. CANADIAN JOURNAL OF REMOTE SENSING,2018,44(6):575-587. |
APA | Wang, Wenning,Liu, Xuebin,Mou, Xuanqin,&Sun, Li.(2018).Iterative Filtering and Structural Features for Hyperspectral Image Classification with Limited Samples.CANADIAN JOURNAL OF REMOTE SENSING,44(6),575-587. |
MLA | Wang, Wenning,et al."Iterative Filtering and Structural Features for Hyperspectral Image Classification with Limited Samples".CANADIAN JOURNAL OF REMOTE SENSING 44.6(2018):575-587. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Iterative Filtering (2924KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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