標(biāo)題：3D Visualization of Landslide Based on Close-Range Photogrammetry

作者：張辰光*，查道函，周沙，周紅霞，江海東

來(lái)源出版物：Instrumentation Mesure Métrologie，2019, Vol. 18, No. 5

DOI：10.18280/i2m.180507

出版年: 2019

文獻(xiàn)類(lèi)型：Article

語(yǔ)種：英文

摘要：This paper aims to accurately visualize the surface deformation of landslide. For this purpose, the authors proposed a surface modelling method based on cloud data of discrete points and triangulated irregular network (TIN). Firstly, an ordinary camera was adopted to take photos of the landslide at a high speed. Then, the close-range photogrammetry, a long-distance noncontact measurement technology, was integrated with surface modelling method, laying the basis for landslide monitoring. The hybrid method was applied to acquire the cloud data of discrete points of the landslide, reconstruct the movement pattern, and predict the future trend of movement. Lab tests show that the minimum of the largest residuals fell within 0.5612~0.9993 mm. The 3D deformation pattern reconstructed by our method in field test deviated from the actual value by less than 1mm, and from the optical measurement by less than 5mm. The results show that our method can realize accurate non-contact measurement of landslide.

關(guān)鍵詞：Landslide, 3D Reconstruction, Close-Range Photogrammetry, Cloud Data, TIN

論文連接：http://www.iieta.org/journals/i2m/paper/10.18280/i2m.180507