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: remote sensing;image fusion;farmland fertility recognition;interpretation-lattice
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: We developed an optimum image-fusion system to improve remote sensing precision of farmland fertility with interpretation-lattice. Specifically, we analyzed the image-fusion system implementation through information measures and modeling, and taken into account that the benefits of image-fusion are maximized and the risk of error farmland fertility recognition with remote sensing is minimized. We also tested our RS image-fusion method with an application about monitoring farmland fertility that is based on several TM and SPOT images and local statistical data. Analyses revealed that this method is better able to estimate the farmland fertility level in comparison with only one single TM or SPOT image, the main method that was previously applied in this context.
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