| ESDA-GIS支持下复杂岩溶地面塌陷区特征提取 |
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| 引用本文： | 梁双华,汪云甲,杨敏.ESDA-GIS支持下复杂岩溶地面塌陷区特征提取[J].煤田地质与勘探,2011,39(3):52-57. |
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| 作者姓名： | 梁双华 汪云甲 杨敏 |
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| 作者单位： | 1. 中国矿业大学环境与测绘学院, 江苏 徐州 221116; |
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| 基金项目： | 国家自然科学基金项目(50774080); 国家公益性行业专项基金(200809128); 江苏建筑职业技术学院基金项目(JYA310-17) |
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| 摘 要： | 针对传统方法提取复杂岩溶地面塌陷区特征时存在的诸多不足，首先运用探索性空间数据分析技术对样本数据的空间分布、空间结构和空间趋势性等性质进行分析，实现了不同提取方案模型参数的估算、检验及优选，确定最佳方案。以徐州市塌陷区为例，构建了ESDA-GIS支持下的复杂岩溶地面塌陷区特征提取模型，并在GIS平台下进行模型验证。结果表明，该模型充分考虑了样本的空间依赖性，这种信息提取方法，减少了建模误差，提高了插值精度，实现了对塌陷区边界信息的准确提取。
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| 关 键 词： | 特征提取 ESDA 克里格法 GIS |
| 收稿时间： | 2010-07-11 |
Feature extraction of complicated surface karst collapse supported by ESDA-GIS |
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| LIANG Shuanghua,WANG Yunjia,YANG Min.Feature extraction of complicated surface karst collapse supported by ESDA-GIS[J].Coal Geology & Exploration,2011,39(3):52-57. |
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| Authors: | LIANG Shuanghua WANG Yunjia YANG Min |
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| Institution: | 1. School of Environment and Spatial Informatics, Chinese University of Mining and Technology, Xuzhou 221008, China;2. Department of Electronic and Information Engineering, Jiangsu Institute of Architectural Technology, Xuzhou 221116, China;3. Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221008, China |
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| Abstract: | In view of the deficiency in traditional method in feature extraction of complicated surface karst collapse, this paper firstly analyzed the properties of spatial distribution, spatial structure and spatial trend of sample data by ESDA, and then determined the optimum scheme by estimating、examing and optimizing parameters of different model schemes, taking Xu zhou surface karst collapse as example, feature extraction of complicated surface karst collapse model was founded and examined under the GIS platform.The results show that the accurate extraction of the boundary information of the surface karst collapse was made and on the same time the modelling errors was reduced and interpolation accuracy was improved for the method fully considered spatial dependencies of sample data. |
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| Keywords: | feature extraction ESDA Kriging GIS |
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