中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Semisupervised Classification of Remote Sensing Images With Hierarchical Spatial Similarity

文献类型:期刊论文

作者Huo, Lian-Zhi1; Tang, Ping1; Zhang, Zheng1; Tuia, Devis1
刊名IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
出版日期2015
卷号12期号:1页码:3904-3916
关键词Image classification image segmentation kernel methods support vector machines (SVMs)
通讯作者Huo, LZ (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.
英文摘要A semisupervised kernel deformation function, including spatial similarity, is proposed for the classification of remote sensing (RS) images. The method exploits the characteristic of these images, in which spatially nearby points are likely to belong to the same class. To fulfill this assumption, a kernel encoding both spatial and spectral proximity using unlabeled samples is proposed. In this letter, two similarity functions for constructing a spatial kernel are proposed. Experimental tests are performed on very high-resolution multispectral and hyperspectral data. With respect to state-of-the-art semisupervised methods for RS images, the proposed method incorporating spatial similarity obtains higher classification accuracy values and smoother classification maps.
研究领域[WOS]Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别SCI ; EI
语种英语
WOS记录号WOS:000340952500031
源URL[http://ir.ceode.ac.cn/handle/183411/38347]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.[Huo, Lian-Zhi
2.Tang, Ping
3.Zhang, Zheng] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
4.[Tuia, Devis] Ecole Polytech Fed Lausanne, Lab Geog Informat Syst, CH-1015 Lausanne, Switzerland
推荐引用方式
GB/T 7714
Huo, Lian-Zhi,Tang, Ping,Zhang, Zheng,et al. Semisupervised Classification of Remote Sensing Images With Hierarchical Spatial Similarity[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2015,12(1):3904-3916.
APA Huo, Lian-Zhi,Tang, Ping,Zhang, Zheng,&Tuia, Devis.(2015).Semisupervised Classification of Remote Sensing Images With Hierarchical Spatial Similarity.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,12(1),3904-3916.
MLA Huo, Lian-Zhi,et al."Semisupervised Classification of Remote Sensing Images With Hierarchical Spatial Similarity".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 12.1(2015):3904-3916.

入库方式: OAI收割

来源:遥感与数字地球研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。