文献类型: 外文期刊
作者: Sun, Ling 1 ; Zhu, Zesheng 2 ;
作者机构: 1.JiangSu Acad Agr Sci, Resource Environm Inst, Nanjing 210014, Jiangsu, Peoples R China
2.Naval Command Coll, Res Dept, Nanjing 210016, Peoples R China
关键词: weed disaster;monitoring;remote sensing;data fusion
期刊名称:2012 FIRST INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS)
ISSN: 2334-3168
年卷期: 2012 年
页码:
收录情况: SCI
摘要: The main obstacle for monitoring weed disasters is how the information from RS and GIS associates with weed disaster modeling. In the information representing physical and logical fusion objects subject to weed disaster monitoring, we analyze a system architecture model for solving the related design issues, including area and type estimation of weed disaster. Besides the information or data fusion, we use the model as a tool of data fusion to avoid the parameter estimation problems in complex environments. Most surprisingly, externally gathered data from local statistics sensors can be entered into a GIS along with the imagery data for increasing the precision of weed disaster modeling.
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