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Construction of knowledge rule sets for the classification of land cover information for the coastal zone of Peninsular Malaysia

文献类型：期刊论文

作者Yan, Jinfeng1; Wang, Menghan1; Su, Fenzhen2; Wang, Tian1; Xiao, Ruiming1
刊名EUROPEAN JOURNAL OF REMOTE SENSING
出版日期2020
卷号53期号:1页码:293-308
关键词Land cover classification knowledge rule sets information extraction coastal zone of Peninsular Malaysia
DOI10.1080/22797254.2020.1830308
通讯作者Yan, Jinfeng(yanjf2004@163.com)
英文摘要Landsat images have large advantages for studying land cover changes over long time periods and have become the main data source for the extraction of large-scale land cover. However, due to the image resolution limitations, it is difficult to classify second-class land cover types with high accuracy through only traditional automatic classification methods. This study selected the coastal zone of Peninsular Malaysia in Southeast Asia as the experimental area for studying the knowledge rule sets classification method. First, a system for the classification of coastal land cover suitable for Southeast Asia was established based on regional characteristics, which included 8 first-class and 18 second-class types. Then, through the combination of multiple geoscience knowledge rules, a set of knowledge rules for extracting the second-class types was established by integrating multiple sources of information, such as the temporal features, topographic features, texture features, shape features, topological features and spectral features. The experimental results showed that the knowledge rule sets were effective in the extraction of the secondary land types in the coastal zones. The overall classification accuracy was over 85%, and the Kappa coefficient was higher than 0.8. Compared with the traditional supervised classification method, the classification accuracy was obviously improved.
WOS关键词BUILT-UP ; INDEX ; DELINEATION ; FEATURES ; FOREST
资助项目Chinese Academy of Sciences[XDA19060300]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000583290200001
出版者TAYLOR & FRANCIS LTD
资助机构Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/156747]  
专题中国科学院地理科学与资源研究所
通讯作者Yan, Jinfeng
作者单位1.Shandong Univ Sci & Technol, Geomat Coll, Qingdao 266590, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Yan, Jinfeng,Wang, Menghan,Su, Fenzhen,et al. Construction of knowledge rule sets for the classification of land cover information for the coastal zone of Peninsular Malaysia[J]. EUROPEAN JOURNAL OF REMOTE SENSING,2020,53(1):293-308.
APA Yan, Jinfeng,Wang, Menghan,Su, Fenzhen,Wang, Tian,&Xiao, Ruiming.(2020).Construction of knowledge rule sets for the classification of land cover information for the coastal zone of Peninsular Malaysia.EUROPEAN JOURNAL OF REMOTE SENSING,53(1),293-308.
MLA Yan, Jinfeng,et al."Construction of knowledge rule sets for the classification of land cover information for the coastal zone of Peninsular Malaysia".EUROPEAN JOURNAL OF REMOTE SENSING 53.1(2020):293-308.

入库方式： OAI收割

来源：地理科学与资源研究所

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