Landslide detection method based on unmanned aerial vehicle point cloud

Abstract

The invention discloses a landslide detection method based on unmanned aerial vehicle point cloud. The landslide detection method comprises the following steps: capturing a high-resolution geographicmark image of a landslide through unmanned aerial vehicle equipment; refining parameters estimated in the SFM process through an SFM program and a beam adjusting method; generating dense three-dimensional point clouds for each observation epoch by using an image captured only in the specific area through a semi-global dense matching process; calculating the normal distance between the two point clouds obtained at any different time periods, and detecting the volume surface change by adopting a point-to-point three-dimensional corresponding relation; and finally, through comparison of the pointcloud landslide steep slopes obtained at different time periods, calculating the displacement rate in the horizontal direction, and detecting the point cloud based on low-altitude, unmanned, aviationand vehicle images. According to the landslide detection method, a large amount of images from different data sources can be easily processed without a large amount of ground control point information or further processing. The research result has a certain reference value for landslide research.

Description

technical field [0001] The invention relates to the technical field of geological disaster monitoring, in particular to a method for analyzing landslide debris flow based on an unmanned aerial vehicle. Background technique [0002] Changes and displacements are basic indicators of the movement of masses on the Earth's surface, such as landslides, soil creep, and rockslides, whether caused by human activities or natural processes. Detecting surface changes is of great significance for natural disaster reduction and dynamic monitoring in environmental management. Landslides are considered to be a natural hazard of great significance that occurs widely in almost every country in the world. Traditional site survey methods, such as the use of total stations, GPS and geological compasses, etc., cannot meet the required cost, time efficiency and safety parameters, and these traditional surveying methods for detecting landslides and steep slopes have low measurement coverage and ca...

AI Technical Summary

Problems solved by technology

Traditional site survey methods, such as the use of total stations, GPS and geological compasses, etc., cannot meet the required cost, time efficiency and safety parameters, and these traditional surveying methods for detecting landslides and steep slopes have low measurement coverage and cannot obtain fine topographical structure

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