中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Combining Support Vector Machines with Distance-based Relative Competence Weighting for Remote Sensing Image Classification: A Case Study

文献类型:期刊论文

作者Xiao, Jie2,3; Wang, Yunpeng3; Su, Hua1
刊名JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY
出版日期2020
卷号64期号:1页码:9
ISSN号1062-3701
DOI10.2352/J.ImagingSci.Technol.2020.64.1.010503
WOS研究方向Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000518860500004
源URL[http://ir.gig.ac.cn/handle/344008/57661]  
专题有机地球化学国家重点实验室
通讯作者Wang, Yunpeng
作者单位1.Fuzhou Univ, Natl & Local Joint Engn Res Ctr Satellite Geospat, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China
推荐引用方式
GB/T 7714
Xiao, Jie,Wang, Yunpeng,Su, Hua. Combining Support Vector Machines with Distance-based Relative Competence Weighting for Remote Sensing Image Classification: A Case Study[J]. JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY,2020,64(1):9.
APA Xiao, Jie,Wang, Yunpeng,&Su, Hua.(2020).Combining Support Vector Machines with Distance-based Relative Competence Weighting for Remote Sensing Image Classification: A Case Study.JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY,64(1),9.
MLA Xiao, Jie,et al."Combining Support Vector Machines with Distance-based Relative Competence Weighting for Remote Sensing Image Classification: A Case Study".JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY 64.1(2020):9.

入库方式: OAI收割

来源:广州地球化学研究所

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