露天石灰岩矿开采范围信息自动提取研究
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摘要
以唐山市的露天石灰岩矿为研究对象,Landsat遥感影像作为基础数据,使用面向对象的方法,选择多个分割尺度生成不同的影像对象层,确定适用于露天石灰岩矿分类的光谱特征、空间特征、层次关系特征,并构造特征空间,运用最近邻模糊分类算法进行石灰岩矿山开采范围信息提取。结果表明该方法能够充分利用地物样本特征并避免固定阈值的缺陷,提高露天石灰岩矿开采范围信息提取的精度以及自动化程度。
Taking an open-pit limestone mine in Tangshan as a research object and the Landsat remote sensing image as basic data,the object-oriented method was used,and multiple segmentation scales were selected to generate different object layers.The spectral characteristics,spatial characteristics and hierarchical relationship characteristics,which were applicable to the classification of open-pit limestone mine,were determined,and the characteristic space was constructed.Finally,automatic extraction of exploitation range information in the limestone mine was conducted by the algorithm of nearest neighbor fuzzy classification.The results showed that this algorithm could not only make full use of feature sample characteristics but also avoid the disadvantage of fixed threshold,so that extraction accuracy and automation degree of exploitation range information in an open-pit limestone mine were improved.
Taking an open-pit limestone mine in Tangshan as a research object and the Landsat remote sensing image as basic data,the object-oriented method was used,and multiple segmentation scales were selected to generate different object layers.The spectral characteristics,spatial characteristics and hierarchical relationship characteristics,which were applicable to the classification of open-pit limestone mine,were determined,and the characteristic space was constructed.Finally,automatic extraction of exploitation range information in the limestone mine was conducted by the algorithm of nearest neighbor fuzzy classification.The results showed that this algorithm could not only make full use of feature sample characteristics but also avoid the disadvantage of fixed threshold,so that extraction accuracy and automation degree of exploitation range information in an open-pit limestone mine were improved.
引文
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[3]谷延群,郭庆十.利用遥感技术开展河北省迁安铁矿区矿山地质环境调查与评价技术研究[J].测绘通报,2012(S1):306-310.
[4]周夏飞,朱文泉,马国霞.稀土矿开采导致的植被净初级生产力损失遥感评估——以江西省赣州市为例[J].遥感技术与应用,2016,31(2):307-315.
[5]Malcolm,Kelly J.,Leverington,et al.(2015).A Landsatbased study of black rock coatings proximal to base metal smelters[J].INTERNATIONAL JOURNAL OF REMOTE SENSING,36:3932-3960.
[6]尚红英,陈建平,李成尊,等.RS在矿山动态监测中的应用—以新疆稀有金属矿集区为例[J].遥感技术与应用,2008(2):189-194.
[7]漆小英,杨武年,邵怀勇,等.矿山扩展遥感信息自动提取方法研究——以攀枝花钒钛磁铁矿为例[J].测绘科学,2008(3):76-78.
[8]Schmidt H.,&Glaesser C.(1998).Multitemporal analysis of satellite data and their use in the monitoring of the environmental impacts of opencast lignite mining areas in Eastern Germany[J].International Journal of Remote Sensing,19(12):2245-2260
[9]Charou E.,Stefouli M.,Dimitrakopoulos D.et al.(2010).Using Remote Sensing to Assess Impact of Mining Activities on Land and Water Resources.Mine Water Environment,29:45-52.
[10]范忻,汪云甲,张书建.淮南矿区土地利用变化遥感监测及驱动力分析[J].矿业研究与开发,2012,32(4):81-84.
[11]刘凤梅,王少军,张志.铁铜多金属矿开采矿区及其固体废弃物信息提取方法研究[J].金属矿山,2010(5):168-170.
[12]袁定波,刘成林,汪国斌.面向对象的矿区信息提取方法的应用与研究[J].遥感信息,2013,4(2):110-115.
[13]代晶晶,王瑞江,王登红.高空间分辨率遥感数据在离子吸附型稀土矿山调查中的应用[J].遥感技术与应用,2014,(6):935-942.
[14]张汉奎,张登荣,朱骏等.基于Hyperion数据的铜矿信息直接和间接提取方法研究[J].遥感技术与应用,2010(6):881-885.
[15]魏飞鸣.基于形状参数的遥感图像“同谱异物”目标区分[A].第十四届全国图象图形学学术会议论文集[C]//北京:清华大学出版社,2008:466-470.
[16]王少华.基于多源遥感数据的矿山开发占地信息提取技术研究[D].北京:中国地质大学(北京),2011.
[17]张正健,李爱农,雷光斌,等.基于多尺度分割和决策树算法的山区遥感影像变化检测方法—以四川攀西地区为例[J].生态学报,2014,34(24):7222-7232.
[18]王志华,何国金,张兆明.福建省罗源县石材矿开采区高分遥感十年变化监测[J].遥感信息,2014,29(6):41-46.
[19]祝振江.基于面向对象分类法的高分辨率遥感影像矿山信息提取应用研究[D].北京:中国地质大学(北京),2011.
[20]朱国龙,汪云甲,乔浩然,等.高分辨率遥感图像最近邻模糊分类器的研究及实现[J].测绘科学,2010,35(6):96-98.