基于SPOT5遥感影像的浅层滑坡体自动提取方法
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摘要
本文在前人研究的基础上,对浅层滑坡体的提取方法进行了改进。首先利用改进的MSAVI算法提取SPOT5影像中的裸地信息,进而对提取的结果进行去阴影、坡度筛选、形态学滤波、栅-矢转换、面积和顺坡性筛选,并基于改进的多峰直方图阈值自动选取算法实现了滑坡体信息的自动提取。经过实验比较表明,改进的方法既有效地去除非滑坡体等干扰信息,又真正实现了滑坡体信息的自动提取,从而极大地提高了已发生滑坡体的识别、提取效率和精度。
The thesis advanced an improved extraction method of shallow landslides on the basis of previous research.Firstly,bare land information was extracted from SPOT5 images based on CMSAVI method.Then,a series of further processions were done upon the extraction results:removed the shadows,then selected based on slope,after that the morphological filtering was done,then transformed the raster image into vector in order to do further selection based on area and downslope.Finally,the improved multi-peak histogram threshholding method was used for automatic extraction of landslide information.It's improved by the experiment that this method could not only get rid of non-landslides and other interference information but also realize the automatic extraction of landslide information,increase the efficiency and accuracy of extraction and identification of occurred landslides.
The thesis advanced an improved extraction method of shallow landslides on the basis of previous research.Firstly,bare land information was extracted from SPOT5 images based on CMSAVI method.Then,a series of further processions were done upon the extraction results:removed the shadows,then selected based on slope,after that the morphological filtering was done,then transformed the raster image into vector in order to do further selection based on area and downslope.Finally,the improved multi-peak histogram threshholding method was used for automatic extraction of landslide information.It's improved by the experiment that this method could not only get rid of non-landslides and other interference information but also realize the automatic extraction of landslide information,increase the efficiency and accuracy of extraction and identification of occurred landslides.
引文
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[13]仇大海,蒋炜,牛海波,张佩民.遥感影像分辨率分析技术在滑坡研究中的应用[J].地质灾害与环境保护,2010,21(1).
[14]袁东,池永翔,程刚.闽北地区不同植被类型下滑坡体土层入渗性能研究[J].长江科学院院报,2010,27(5).
[2]姚鑫,张永双,王献礼,等.基于地貌特征的浅层崩滑体遥感自动识别[J].地质通报,2008,27(11):1870-1874.
[3]李铁锋,等.基于多期SPOT5影像的降雨型浅层滑坡遥感解译研究[J].北京大学学报(自然科学版),2007,43(2).
[4]苏凤环,刘洪江,韩用顺.汶川地震山地灾害遥感快速提取及其分布特点分析[J].遥感学报,2008,12(6).
[5]万保峰,袁水华,苏建平.基于纹理分析的滑坡遥感图像识别[J].地矿测绘,2009,25(2).
[6]赵祥,李长春,苏娜.滑坡泥石流的多源遥感提取方法[J].自然灾害学报,2009,18(6).
[7]Rouse,J.W.,R.H.Haas,J.A.Schell,et al.MonitoringVegetation Systems in the Great Plains with ERTS[J].Third ERTS Symposium,1973,NASA SP-351 I:309-317.
[8]陈述彭、赵英时.遥感地学分析[M].北京:测绘出版社,1990.
[9]Huete A R.A soil-adjusted vegetation index(SAV I)[J].Remote Sensing of Environment,1988,25(3):295-309.
[10]QI J,CHEHBOUNI A,HUETE A R,et al.A modifiedsoil ad-justed vegetation index[J].Remote Sensing ofthe Environment,1994,48:119-126.
[11]D.M.Tsai.A fast thresholding selection procedure formultimodal and unimodal histograms[J].Pattern Rec-ognition Letters,1995,16:653-666.
[12]明冬萍,王群,杨建宇.遥感影像空间尺度特性与最佳空间分辨率选择[J].遥感学报,2008,12(4):530-531.
[13]仇大海,蒋炜,牛海波,张佩民.遥感影像分辨率分析技术在滑坡研究中的应用[J].地质灾害与环境保护,2010,21(1).
[14]袁东,池永翔,程刚.闽北地区不同植被类型下滑坡体土层入渗性能研究[J].长江科学院院报,2010,27(5).
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