基于无人飞行器倾斜影像特征信息提取的滑坡三维建模与危险性评价

项目名称： 基于无人飞行器倾斜影像特征信息提取的滑坡三维建模与危险性评价

项目编号： No.41301468

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 天文学、地球科学

项目作者： 胡卓玮

作者单位： 首都师范大学

项目金额： 25万元

中文摘要： 无人飞行器可用于快速获取地震滑坡区域地面影像，实现信息提取，开展滑坡灾害分析评估，减轻生命财产损失。无人飞行器遥感技术容易产生大倾角影像数据问题，虽不利于采用传统航空摄影测量方式实现几何量测，却可从更好角度观测滑坡，利于滑坡特征信息定量提取。本项目以地震滑坡为研究对象，提出无人飞行器空中近景摄影测量的思路，建立无人飞行器侧视影像立体模型，将面向对象影像分类与立体视觉下的几何量算相结合，实现滑坡单元识别和特征信息提取。基于滑坡单元及其特征信息建立满足约束限定条件的滑坡表面模型，并应用于滑坡非连续变形分析（DDA）模拟，研究定量分析支持下的滑坡危险性评价方法。项目将研究解决滑坡三维模型建立过程中定向、重构问题，以及三维模型支持下的滑坡危险性评价定量分析问题，实现从无人飞行器数据采集处理、表面建模、滑坡特征信息提取、滑坡三维建模、数值模拟分析到地震滑坡危险性评价的方法流程。

中文关键词： 滑坡危险性；无人机影像；三维重建；影像匹配；遥感

英文摘要： Unmanned Aerial Vehicle (UAV) remote sensing technology has the real-time ability to obtain ground images at earthquake landslide area. It makes it possible to extract landslide disaster information, support emergency rescue and decrease losses at the first second after earthquake. However, UAV remote sensing is prone to produce images with big-slant-angle. Although it is not fit for object measuring by traditional photogrammetry, it is benefit for observing slope at a better angle and extracting slope characteristics quantitatively. In this research, we define UAV big-slant-angle data as side-look images for earthquake landslide, which is based on an UAV close range photogrammetry idea. Image recognition of earthquake landslide area and three dimensional measuring of slope features will be researched. First of all, a projection datum plane along slope normal will be simulated according to the terrain surface. Appropriate images will be selected by evaluating camera pose and landslide overlapping rate. Secondly, orthogonal rotation matrix is to be used to do 3D datum transformation with big-rotation-angle. Settlement of collinearity equations considering big-slant-angle condition will be researched. On this basis, dependent relative orientation among image series will be done to construct a three dimensional sid

英文关键词： Landslide Hazard Risk；UAV Imagery Data；3D Reconstruction；Image Matching；Remote Sensing