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DEFORMATION MONITORING FOR HISTORICAL SITE USING CLOSE-RANGE PHOTOGRAMMETRY TECHNIQUE

机译:近距离摄影测量技术的历史遗址变形监测

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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,利用光学传感器来记录和保护遗产已被广泛使用并在国际层面获得良好的认可。与使用手绘或平面表进行测量的传统录音方法不同,使用像数码相机或激光/雷达扫描仪这样的非侵入式光学传感器可以提供更逼真,准确,精确的结果。数字录制文档更容易保留,并且可以在许多其他目的中使用,如交叉比较,形状和颜色监控,多媒体博物馆展览,可视化,重建,虚拟/增强现实应用等。激光乐节点云具有实际规模和高精度,但其颜色将很容易受到天气,亮度水平和安装相机的校准的影响。设备也很重且昂贵。使用数码相机的基于图像的点云的准确性高度依赖于图像的分辨率。使用摄影测量的3D模型的纹理更加逼真。数码相机也是便携式的。由于便携性,选择数码相机以录制遗产网站。本文在测试领域进行了调查,以模拟使用地面LIDAR扫描仪,无人驾驶飞行器(UAV)和手持摄像机来观察测量点的运动的变形。 UAV拍摄的空中图像是地理位置的,图像质量稳定,但分辨率不高于手持式相机。手持式相机拍摄的地面图像很容易受摄影师(例如,由于振动而模糊的图像),并且需要获得真正的规模。考虑到上述所有优缺点,LIDAR点云用于通过手持式相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,测试方法是可行的。基于图像的3D模型的准确性可以实现厘米级精度。高精度测量结果用于进行变形监测和位移观察。然后使用不同类型的遥感传感器数据分析3D模型的准确性,并且也将审查每个方法的限制。可以预期,这可以用来应用未来大规模考古遗骸的变形监测。

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