摘要
针对测绘无人机应急响应能力较差的局限,基于微型无人机系统,设计灵活机动的地理信息快速获取流程,利用MAV平台获取的超低空影像进行全自动大场景三维重建的实验。方法分3个步骤,包括提取特征点并匹配,计算相机姿态参数,多视立体重建生成3D模型。最后,对0.2 km2测区进行了MAV航拍得到154张照片,全自动生成DOM、DSM及纹理贴图场景3D模型,实验结果表明了本文方法的可行性和有效性。
For the limitations of the poor emergency response capability of mapping UAV,based on micro uav system,the design of flexible geographic information quickly get process,the automatic big scene 3D reconstruction for the micro low image acquired through the MAV platform is experimented in this article.It take three steps,including the extracting and matching feature points,calculating the structure parameters for camera and generating 3D model based on multi-view reconstruction.Finally,geting 154 imgaes from the 0.2 squar kilometers test area based on the MAV,and generating DOM,DSM and texture map scene 3D model automaticlly.The experimental result approve the feasibility and effectiveness of the method.
出处
《城市勘测》
2012年第1期42-44,共3页
Urban Geotechnical Investigation & Surveying
基金
南宁市科学研究与技术开放计划项目(201002010A)