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遥感技术与应用  2016, Vol. 31 Issue (3): 572-579    DOI: 10.11873/j.issn.1004-0323.2016.3.0572
遥感应用     
基于面向对象方法的露天煤矿用地类型提取优先级分析
宋亚婷,江东,黄耀欢,万华伟
(1.中国矿业大学(北京)地球科学与测绘工程学院,北京 100083;
2.中国科学院地理科学与资源研究所资源利用与环境修复重点实验室,北京 100101;
3.环境保护部卫星环境应用中心,北京 100029)
Research on the Priority of the Land Use Types Extraction of Opencast Mine Area based on Object\|oriented Classification
Song Yating1,Jiang Dong2,Huang Yaohuan2,Wan Huawei3
(1.China University of Mining and Technology College of Geoscience and
Surveying Engineering,Beijing 100083,China;
2.Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;
3.Satellite Environment Center,Ministry of Environmental Protection,Beijing 100029,China)
 全文: PDF(11684 KB)  
摘要:

高分辨率影像为矿产资源开发遥感监管提供了更为精确有效的数据.以霍林河露天煤矿区为研究区,应用高分一号卫星影像为主要数据源,在面向对象的影像分类基础上,探讨了露天煤矿区用地类型信息提取优先顺序对最终分类精度的影响.结果表明:露天煤矿区的用地类型信息提取中,采用优先提取采矿场和排土场等资源开发用地类型、而后提取其他非开发用地的优先级顺序的分类精度最高,其总体精度达到82%,Kappa系数达到0.78,可以为露天煤矿区的用地类型信息提取提供理论和方法支持.

关键词: 露天煤矿用地类型高分辨率面向对象分类提取优先级    
Abstract:

High\|resolution images have provided more accurate data for the supervision of mineral resources exploitation.based on the image of satellite “Gaofen\|1”,this test took Huolinhe open\|cast coalmine as the study area,and adopted object\|oriented classification method to discuss the influence of different classification orders on classification accuracy.Results indicated that in the land use types extraction of open\|cast coalmine,the method of extracting stopes and refuse dumps fist had the highest classification accuracy,with the total accuracy to 82% and Kappa coefficient to 0.78.This method could offer theory and methodology to support for the land use types extraction of opencast mine area.

Key words: Opencast coal mine;Type of land use;High resolution;Object\    oriented;Priority of classification
收稿日期: 2015-07-22 出版日期: 2016-07-19
:  TP79  
基金资助:

国家自然科学青年基金项目(51309210),高分辨率对地观测专项项目(GrantNO.30GY30B13G9003G14/16,05GY30B02G9001G13/15).

通讯作者: 黄耀欢(1982-),男,安徽黄山人,副研究员,主要从事生态环境遥感应用的研究.Email:huangyh@lreis.ac.cn.   
作者简介: 宋亚婷(1990-),女,山东烟台人,硕士研究生,主要从事遥感影像监测方面的研究.Email:yatingsong1990@163.com.
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引用本文:

宋亚婷,江东,黄耀欢,万华伟. 基于面向对象方法的露天煤矿用地类型提取优先级分析[J]. 遥感技术与应用, 2016, 31(3): 572-579.

Song Yating,Jiang Dong,Huang Yaohuan,Wan Huawei. Research on the Priority of the Land Use Types Extraction of Opencast Mine Area based on Object\|oriented Classification. Remote Sensing Technology and Application, 2016, 31(3): 572-579.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.3.0572        http://www.rsta.ac.cn/CN/Y2016/V31/I3/572

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