| GIS支持下基于支持向量机的滑坡危险性评价 |
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| 引用本文： | 傅文杰. GIS支持下基于支持向量机的滑坡危险性评价[J]. 地理科学, 2008, 28(6): 838-841. DOI: 10.13249/j.cnki.sgs.2008.06.838 |
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| 作者姓名： | 傅文杰 |
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| 作者单位： | 莆田学院环境与生命科学系,福建,莆田351100 |
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| 基金项目： | 福建省科技厅青年人才项目“基于支持向量机的地质灾害危险性评价GIS系统”(2006F3111)资助 |
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| 摘 要： | 以仙游县为例,探讨了将地理信息系统技术(GIS)和支持向量机(SVM)算法应用于滑坡灾害危险性评价的基本思路和技术路线。主要内容包括SVM的基本原理和方法、滑坡灾害危险性评价指标的选取和量化、SVM模型的建立以及具体的实现过程。实践证明该方法是一种较好的滑坡灾害危险性评价方法。
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| 关 键 词： | 支持向量机 GIS 滑坡 危险性评价 |
| 收稿时间： | 2008-01-02 |
| 修稿时间： | 2008-05-11 |
Landslide Hazard Evaluation Based on GIS and SVM |
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| FU Wen-jie. Landslide Hazard Evaluation Based on GIS and SVM[J]. Scientia Geographica Sinica, 2008, 28(6): 838-841. DOI: 10.13249/j.cnki.sgs.2008.06.838 |
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| Authors: | FU Wen-jie |
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| Affiliation: | Putian University, Putian, Fujian 351100 |
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| Abstract: | The development of Geographic Information System(GIS) technology provides a new technical method for the evaluation of landslide risk.Support Vector Machine is the hotspot of machine-learning industry research,and has been applied successfully in many areas.By taking Xianyou County as an example,a new method for landslide hazard evaluation based on GIS and Support Vector Machines(SVM) is presented in this paper.It includes the basic principles and methods of SVM,selection and quantification of landslide haz... |
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| Keywords: | Support Vector Machine Geographic Information System landslide hazard evaluation |
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