基于无人机遥感影像及其点云特征的建筑物震害提取*
张雪华1,王晓青2,杜晓霞1,赖俊彦1,许建华1

(1.中国地震应急搜救中心,北京 100049; 2.中国地震局地震预测研究所,北京 100039)

无人机; 遥感影像; 点云三维特征; 面向对象; 建筑物震害提取

Extraction of Buildings' Seismic Damage Based on Remote Sensing Images of UAV and Its Point Clouds Characteristic
ZHANG Xuehua1,WANG Xiaoqing2,DU Xiaoxia1,LAI Junyan1,XU Jianhua1

(1. National Earthquake Response Support Service,Beijing 100049,China)(2. Institute of Earthquake Forecasting,China Earthquake Administration,Beijing 100039,China)

UAV; remote sensing image; 3D feature of points cloud; object-oriented; building damage extraction

备注

以北川老县城地震遗址为研究对象,通过使用点云CSF滤波算法得到研究区建筑物高度特征nDSM数据,并通过点云格网化处理以及坡度值计算得到建筑物坡度特征,再结合研究区DOM数据进行建筑物震害提取,实验结果表明该方法能够较好地提升建筑物震害的提取精度。

Taking earthquake sites in the old county town of Beichuan as research area,the nDSM data of the height information of the building. in the study area are obtained by using the point cloud CSF filtering algorithm. The slope characteristic of the building is obtained through the points cloud grid processing and the slope value calculation. Combine the DOM and nDSM and slope image of the research area,we extract the seismic damage of building through the object-oriented method. The results show that the method of combine DOM and height and slope information can improve the extraction the accuracy of building damage than only use DOM.