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.
出处
《测绘科学》
CSCD
北大核心
2012年第1期71-73,88,共4页
Science of Surveying and Mapping
基金
中铁第四勘察设计院集团有限公司基金项目(2009D06-1)
