高分一号汶川极震区滑坡提取研究
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摘要
选择汶川地震极震区的高分一号卫星影像,通过面向对象的分析技术提取滑坡信息;采用多尺度分割算法,结合高分影像和滑坡特点将以往经验式参数选取方法进行优化,分析极震区滑坡的特征,选择合适的特征参数,构建分类规则,实现滑坡的识别与提取。滑坡灾害信息的提取结果采用野外实际调查的滑坡点进行精度评价,滑坡提取总精度为84%,表明利用高分一号高分辨率卫星数据可以较好地提取滑坡灾害信息,基本满足滑坡灾害识别的要求。
Earthquake induced landslide is the most common and destructive type of earthquake,so it is of great significance to quickly and accurately obtain the distribution of landslides after the earthquake. The traditional method of artificial interpretation of remote sensing is of low efficiency. In this paper,we select the GF-1 image of the Wenchuan earthquake zone and extract the landslide information by using the object-oriented method. Multi-scale segmentation is used to set the different segmentation parameters. The suitable parameters are selected according to the features of spectrum,texture and geometry,and the classification rules are constructed to extract the landslide area. Through the comparison of landslide with landslide points by actual investigating,the accuracy of objectoriented classification method for 84%. The result shows that GF-1 data can be used to extract information of landslide hazard and meet the basic requirements of landslide hazard identification.
Earthquake induced landslide is the most common and destructive type of earthquake,so it is of great significance to quickly and accurately obtain the distribution of landslides after the earthquake. The traditional method of artificial interpretation of remote sensing is of low efficiency. In this paper,we select the GF-1 image of the Wenchuan earthquake zone and extract the landslide information by using the object-oriented method. Multi-scale segmentation is used to set the different segmentation parameters. The suitable parameters are selected according to the features of spectrum,texture and geometry,and the classification rules are constructed to extract the landslide area. Through the comparison of landslide with landslide points by actual investigating,the accuracy of objectoriented classification method for 84%. The result shows that GF-1 data can be used to extract information of landslide hazard and meet the basic requirements of landslide hazard identification.
引文
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[3]安立强,张景发,赵福军.汶川地震次生灾害提取——面向对象影像分类技术的应用[J].自然灾害学报,2011,20(2):160-168.
[4]OTHMAN A A,GLOAGUEN R.Automatic Extraction and Size Distribution of Landslides in Kurdistan Region,NE Iraq[J].Remote Sensing,2013,5(5):2389-2410.
[5]RAU J Y,JHAN J P,RAU R J.Semiautomatic Objectoriented Landslide Recognition Scheme from Multisensor Optical Imagery and DEM[J].IEEE Transactions on Geoscience&Remote Sensing,2013,52(2):1336-1349.
[6]朱娇.基于高分一号影像的宝兴县滑坡信息提取研究[D].成都:成都理工大学,2015.
[7]李启源.高分一号遥感影像地质灾害信息提取方法研究[J].测绘与空间地理信息,2016,39(2):17-20.
[8]殷跃平.汶川八级地震地质灾害研究[J].工程地质学报,2008,66(4):433-444.
[9]邓书斌.ENVI遥感图像处理方法[M].北京:科学出版社,2008.
[10]HLBLING D,FRIEDL B.An Object-based Approach for Semi-automated Landslide Change Detection and Attribution of Changes to Landslide Classes in Northern Taiwan[J].Earth Science Informatics,2015,8(2):327-335.
[11]刘建平,赵英时,孙淑玲.高光谱遥感数据最佳波段选择方法试验研究[J].遥感技术与应用,2001,16(1):7-13.
[12]冯文卿.利用多尺度融合进行面向对象的遥感影像变化检测[J].测绘学报,2015,44(10):1142-1151.
[13]王赛.基于多源遥感数据的汶川地震型滑坡信息提取研究[D].北京:中国地质大学(北京),2015.
[14]DRGU T L,CSILLIK O,EISANK C,et al.Automated Parameterisation for Multi-scale Image Segmentation on Multiple Layers[J].Remote Sensing,2014,88(100):119.
[15]韩凝.空间信息在面向对象分类方法中的应用[D].杭州:浙江大学,2011.
[16]范建容,李秀珍,张怀珍,等.汶川地震灾区崩塌滑坡体几何特征信息遥感定量提取与分析[J].水土保持通报,2012,32(2):118-121.
[17]秦绪文,杨金中,张志,等.汶川地震灾区航天遥感应急调查[M],北京:科学出版社,2008.