Fast extraction method of highway landslide area
An extraction method, a highway technology, applied in the directions of instruments, character and pattern recognition, scene recognition, etc., can solve the problems of few landslide studies, long time consumption, large workload, etc., to reduce manpower, time consumption, data easy effect
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2018-11-20
Smart Images

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Abstract
Description
technical field
[0001] The invention relates to the technical field of landslide research, in particular to a rapid extraction method for road landslide areas. Background technique
[0002] Landslides are one of the most serious natural disasters in the world, which may cause loss of human life and property, block roads and rivers, affect road traffic and cause floods. In the current road construction process, this method of cutting and filling construction will create large unstable areas by blasting and excavating to embed or penetrate steep hillsides. The cutting or filling of road slopes for road widening and reinforcement is an important factor to effectively eliminate the cohesion and strength of the slope, making it easier for the slope to be destroyed. The downhill side of built roads is a common dumping area for road construction waste. In addition, road construction will cause interruption of surface drainage, blockage of ditches and culverts, and changes in grou...
Examples
Embodiment
[0048] Such as figure 1 As shown, a fast extraction method of road landslide area, including the following steps:
[0049] (1) Set up the road-induced landslide interpretation sign on the Google earth image, and the Google earth image is the image of the drought period;
[0050] (2) According to the road-induced landslide interpretation signs, the landslide area is drawn by visually interpreting the images on both sides of the road in Google earth images, and the road landslide samples are obtained. The landslide area includes mountain-cutting landslides and filling landslides;
[0051] (3) if figure 2 As shown, the Landsat8 OLI image is preprocessed to obtain the Landsat8 OLI study area image. The data preprocessing includes four steps, which are radiometric calibration, atmospheric correction, image mosaic, and image cropping;
[0052] (4) Superimpose the road landslide sample collected from Google earth image on the Landsat8 OLI study area image, and then use ENVI softw...