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Integrating MODIS and Landsat Data for Land Cover Classification by Multilevel Decision Rule

文献类型：期刊论文

作者Guan, Xudong2; Huang, Chong3; Zhang, Rui1
刊名LAND
出版日期2021-02-01
卷号10期号:2页码:18
关键词image classification decision fusion multi-temporal remote sensing
DOI10.3390/land10020208
通讯作者Huang, Chong(huangch@lreis.ac.cm)
英文摘要In some cloudy and rainy regions, the cloud cover is high in moderate-high resolution remote sensing images collected by satellites with a low revisit cycle, such as Landsat. This presents an obstacle for classifying land cover in cloud-covered parts of the image. A decision fusion scheme is proposed for improving land cover classification accuracy by integrating the complementary information of MODIS (Moderate-resolution Imaging Spectroradiometer) time series data with Landsat moderate-high spatial resolution data. The multilevel decision fusion method includes two processes. First, MODIS and Landsat data are pre-classified by fuzzy classifiers. Second, the pre-classified results are assembled according to their assessed performance. Thus, better pre-classified results are retained and worse pre-classified results are restrained. For the purpose of solving the resolution difference between MODIS and Landsat data, the proposed fusion scheme employs an object-oriented weight assignment method. A decision rule based on a compromise operator is applied to assemble pre-classified results. Three levels of data containing different types of information are combined, namely the MODIS pixel-level and object-level data, and the Landsat pixel-level data. The multilevel decision fusion scheme was tested on a site in northeast Thailand. The fusion results were compared with the single data source classification results, showing that the multilevel decision fusion results had a higher overall accuracy. The overall accuracy is improved by more than 5 percent. The method was also compared to the two-level combination results and a weighted sum decision rule-based approach. A comparison experiment showed that the multilevel decision fusion rule had a higher overall accuracy than the weighted sum decision rule-based approach and the low-level combination approach. A major limitation of the method is that the accuracy of some of the land covers, where areas are small, are not as improved as the overall accuracy.
资助项目National Science Foundation of China[41901309] ; Special Project of Lancang-Mekong River Cooperation of the Ministry of Science and Technology of the People's Republic of China ; CAS Light of West China Program ; Youth Talent Team Program of the Institute of Mountain Hazards and Environment, CAS[SDSQB-2020000032] ; Youth Talent Team Program of the Institute of Mountain Hazards and Environment, CAS[Y8R2230230] ; Agricultural Resources and Environmental Survey with Information Platform Construction in Lancang-Mekong River Basin
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者MDPI
WOS记录号WOS:000622688600001
资助机构National Science Foundation of China ; Special Project of Lancang-Mekong River Cooperation of the Ministry of Science and Technology of the People's Republic of China ; CAS Light of West China Program ; Youth Talent Team Program of the Institute of Mountain Hazards and Environment, CAS ; Agricultural Resources and Environmental Survey with Information Platform Construction in Lancang-Mekong River Basin
源URL[http://ir.imde.ac.cn/handle/131551/56022]  
专题成都山地灾害与环境研究所_数字山地与遥感应用中心
成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
通讯作者Huang, Chong
作者单位1.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China
2.Chinese Acad Sci, Res Ctr Digital Mt & Remote Sensing Applicat, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Guan, Xudong,Huang, Chong,Zhang, Rui. Integrating MODIS and Landsat Data for Land Cover Classification by Multilevel Decision Rule[J]. LAND,2021,10(2):18.
APA Guan, Xudong,Huang, Chong,&Zhang, Rui.(2021).Integrating MODIS and Landsat Data for Land Cover Classification by Multilevel Decision Rule.LAND,10(2),18.
MLA Guan, Xudong,et al."Integrating MODIS and Landsat Data for Land Cover Classification by Multilevel Decision Rule".LAND 10.2(2021):18.

入库方式： OAI收割

来源：成都山地灾害与环境研究所

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