首页> 外文会议>Asian conference on remote sensing >DEFORMATION MONITORING FOR HISTORICAL SITE USING CLOSE-RANGE PHOTOGRAMMETRY TECHNIQUE
【24h】

DEFORMATION MONITORING FOR HISTORICAL SITE USING CLOSE-RANGE PHOTOGRAMMETRY TECHNIQUE

机译:使用近距离摄影测量技术的历史现场变形监测

获取原文

摘要

With the development of remote sensing technology, using optical sensors to record and preserve heritage sites have been widely used and well recognized at an international level. Different from the traditional recording method using hand-painting or plane table to do measurement, using non-invasive optical sensors like digital camera or laser/radar scanner can provide more realistic, accurate and precisely results. Digital recording documents are much easier to preserve and can be utilized in many other purposes like cross-comparison, monitoring of shape and colors, multimedia museum exhibitions, visualization, reconstruction, virtual/augmented reality applications and so on. LiDAR point cloud has real scale and high precision, but its color would be easily affected by weather, levels of brightness, and calibration of the mounted camera. The equipment is also heavy and expensive. The accuracy of image-based point cloud using digital camera is highly depended on the resolution of the images. The texture of 3D model using photogrammetry is more realistic. Digital cameras are also portable. On account of portability, the digital camera is chosen to record the heritage site. This paper conducts a survey in the test field to simulate deformation using terrestrial LiDAR scanner, unmanned aerial vehicle (UAV) and handheld camera to observe movement of measuring points. Aerial images taken by UAV are georeferenced and the image quality is stable but the resolution is not higher than the handheld camera. Terrestrial images taken by handheld camera are easily affected by the photographer (e.g. blurry image because of vibration) and was needed to be given a real scale. Considering all pros and cons mentioned above, the LiDAR point cloud was used to check the accuracy of image-based point cloud by handheld camera and UAV. Through previous experiments, the testing method is feasible. The accuracy of image-based 3D models can achieve centimeter level precision. The high precision measuring results were used to conduct deformation monitoring and displacement observation. Then the accuracy of the 3D models will be analyzed using different kinds of remote sensing sensor data and each method' limitations will be reviewed as well. It can be expected that this can be used to apply deformation monitoring of large scale archaeological remains in the future.
机译:随着遥感技术的发展,使用光学传感器记录和保护历史遗迹已被广泛使用并在国际上得到广泛认可。与使用手绘或平面工作台进行传统记录的方法不同,使用非侵入式光学传感器(如数码相机或激光/雷达扫描仪)可以提供更真实,准确和精确的结果。数字记录文档更容易保存,并且可以用于许多其他目的,例如交叉比较,形状和颜色的监视,多媒体博物馆展览,可视化,重建,虚拟/增强现实应用等。 LiDAR点云具有真实的比例和高精度,但是其颜色很容易受到天气,亮度水平和安装的摄像机的校准的影响。设备又重又昂贵。使用数码相机的基于图像的点云的准确性在很大程度上取决于图像的分辨率。使用摄影测量法的3D模型的纹理更加逼真。数码相机也是便携式的。考虑到便携性,选择了数码相机来记录遗产。本文在测试领域进行了调查,以使用地面LiDAR扫描仪,无人飞行器(UAV)和手持式摄像头模拟变形来观察测量点的运动。无人机拍摄的航空图像经过地理定位,图像质量稳定,但分辨率不高于手持摄像机。手持相机拍摄的地面图像容易受到摄影师的影响(例如,由于振动而产生的模糊图像),因此需要给定真实比例。考虑到上述所有优点和缺点,LiDAR点云被用于通过手持摄像机和无人机检查基于图像的点云的准确性。通过先前的实验,该测试方法是可行的。基于图像的3D模型的精度可以达到厘米级的精度。高精度的测量结果用于变形监测和位移观测。然后,将使用不同种类的遥感传感器数据来分析3D模型的准确性,并且还将回顾每种方法的局限性。可以预期,这可以在将来用于大规模考古遗迹的变形监测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号