无人机遥感在大型不可移动文物三维重建中的应用
发布时间：2018-09-07 08:40
【摘要】：针对大型不可移动文物三维重建技术存在的困难,本文基于无人机遥感等平台,利用基于图片的三维重建技术,设计了一种低成本、简便高效、较高精度的大型不可移动文物的表面精细几何纹理获取与三维重建的技术流程,对建模中的技术问题进行了研究,并对其精度和实用性进行了评价。其结果较好地满足了文物测量的精度要求;为文物保护与展示等研究提供了新的思路,能全方位、近距离面向公众做三维展示;结果带有精确的地理位置信息,可作为三维GIS平台新的数据采集方法和数据源。
[Abstract]:Aiming at the difficulty of 3D reconstruction technology of large immovable cultural relic, based on UAV remote sensing and other platforms, this paper designs a low cost, simple and efficient 3D reconstruction technology based on image. In this paper, the technology flow of surface fine geometric texture acquisition and 3D reconstruction of large immovable cultural relics with high precision is studied. The technical problems in modeling are studied, and its accuracy and practicability are evaluated. The results meet the precision requirements of cultural relic survey, and provide a new way of thinking for the research of cultural relic protection and display, which can be displayed in all directions and at close range to the public. It can be used as a new data acquisition method and data source for 3D GIS platform.
【作者单位】： 南京大学地理与海洋科学学院;江苏省地理信息资源开发与利用协同创新中心;江苏省地理信息技术重点实验室;
【基金】：国家自然科学基金(41271160)
【分类号】：P237
本文编号：2227765
[Abstract]:Aiming at the difficulty of 3D reconstruction technology of large immovable cultural relic, based on UAV remote sensing and other platforms, this paper designs a low cost, simple and efficient 3D reconstruction technology based on image. In this paper, the technology flow of surface fine geometric texture acquisition and 3D reconstruction of large immovable cultural relics with high precision is studied. The technical problems in modeling are studied, and its accuracy and practicability are evaluated. The results meet the precision requirements of cultural relic survey, and provide a new way of thinking for the research of cultural relic protection and display, which can be displayed in all directions and at close range to the public. It can be used as a new data acquisition method and data source for 3D GIS platform.
【作者单位】： 南京大学地理与海洋科学学院;江苏省地理信息资源开发与利用协同创新中心;江苏省地理信息技术重点实验室;
【基金】：国家自然科学基金(41271160)
【分类号】：P237
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