| 基于面向对象的GF-1遥感影像采煤沉陷区湿地分类 |
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| 引用本文： | 程琳琳,董雪梅,詹佳琪,张也.基于面向对象的GF-1遥感影像采煤沉陷区湿地分类[J].农业工程学报,2018,34(9):240-247. |
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| 作者姓名： | 程琳琳 董雪梅 詹佳琪 张也 |
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| 作者单位： | 中国矿业大学(北京)地球科学与测绘工程学院 |
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| 基金项目： | 国家自然科学基金（41401637） |
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| 摘 要： | 为掌握采煤沉陷区湿地的类别和分布,促进矿区土地的复垦、规划和管理,该文以兖州煤田为例,探讨了基于GF-1遥感影像的面向对象的采煤沉陷区湿地分类方法。对河流湿地和景观湿地的影像进行基于矢量的棋盘分割,采用标准最邻近法进行分类。水产养殖湿地、植被型湿地、未复垦的常年积水湿地和未复垦的季节积水湿地的影像采用基于矢量的多尺度分割,通过反复试验获取最优分割参数,进而进行综合分析得到局部最优分割参数,由此确定分类层次,选取易于区分各类型湿地的影像特征建立分类规则,采用模糊分类法进行分类。选取141个样本点进行实地验证,结果表明分类精度达到96.95%,Kappa系数为0.958 4。该研究为采煤沉陷区湿地的分类提供了借鉴。
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| 关 键 词： | 遥感 土地利用 复垦 煤矿 沉陷区 湿地分类 |
| 收稿时间： | 2018/1/12 0:00:00 |
| 修稿时间： | 2018/4/7 0:00:00 |
Classification of wetland based on object-oriented method in coal mining subsidence area using GF-1 remote sensing image |
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| Cheng Linlin,Dong Xuemei,Zhan Jiaqi and Zhang Ye.Classification of wetland based on object-oriented method in coal mining subsidence area using GF-1 remote sensing image[J].Transactions of the Chinese Society of Agricultural Engineering,2018,34(9):240-247. |
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| Authors: | Cheng Linlin Dong Xuemei Zhan Jiaqi and Zhang Ye |
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| Institution: | College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China,College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China,College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China and College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China |
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| Abstract: | |
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| Keywords: | remote sensing land use land reclamation coal mine subsidence area classification of wetland |
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