选择长江三峡秭归段千将坪滑坡及其周边区域为研究区,利用机载LiDAR数据,开展滑坡识别参数提取方法研究。首先提取滑坡识别参数,再利用相关滑坡识别参数和智能分类算法开展滑坡像元和非滑坡像元分类。试验表明,基于LiDAR技术提取的滑坡识别参数能有效区分滑坡像元和非滑坡像元,确定的特征参数子集对于提高分类精度大有帮助。

The Qianjiangping landslide,a typical landslide located at the Zigui segment of the Yangtze Three Gorges,and its surrounding areas was selected as our case study area to carry out the research on the extraction method of landslide identiication parameters using airborne LiDAR data.First we extracted landslide recognition parameters,such as DEM derived products and texture features,and then used the correlation parameters and intelligent classification algorithm to perform the classification of landslide and non-landslide pixels.Experimental results show that the parameters extracted based on the LiDAR technology can efectively distinguish between landslide and non- landslide pixels,and the parameters subset that determined reasonably is a great help to the improvement of classiication accuracy.