Multidimensional extraction of UAV tilt photography-based information of loess landslide and its application
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摘要:
本文针对黄土地区地质灾害调查与评估需求，探索了一种基于无人机倾斜摄影影像和飞控数据的滑坡单体信息多维提取的方法。通过影像处理获得的DEM、DOM和实景三维模型等多维数据，对贾家村滑坡坡形、坡度、相对高差、植被覆盖率、纵坡比降、表面积与物源体积进行定量提取，结合区域气象数据分析了贾家村滑坡年均降雨量时空分布规律，利用相关地质资料分析了其地层岩性特点和区域地质构造情况，为准确评定其稳定性及危险性提供既高效又准确的定性、定量参考依据。
Abstract:Aiming at the needs of geological disaster investigation and assessment in loess area, a multi-dimensional extraction method of landslide single information based on UAV tilt photographic image and flight control data was explored. Rich information of the Jiajiacun landslide was quantitatively extracted from DEM, DOM and real scene 3D model obtained by image processing, including its slope shape, slope, relative height difference, vegetation coverage, longitudinal slope ratio, surface area and source volume. The stratigraphic lithology and regional structure are analyzed by using relevant geological data. Combined with the regional meteorological data, the spatial and temporal distribution of annual average rainfall of Jiajicun landslide was analyzed, which provides an efficient and accurate qualitative and quantitative reference for the accurate assessment of its stability and risk.
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