Slope unit division method based on multi-scale image segmentation

Abstract

The invention discloses a slope unit division method based on multi-scale image segmentation. The method comprises the following steps: obtaining a slope map layer based on a digital elevation model;calculating to obtain a unit vector in the X-axis direction and a unit vector in the Y-axis direction, and taking the unit vectors as main body segmentation layers for dividing slope units; extractinga catchment area map layer and taking the catchment area map layer as a limit map layer for slope unit division; and dividing the slope units to obtain a final slope unit division result. According to the method, topographic elements are comprehensively considered, a data set suitable for multi-scale segmentation, an optimal segmentation scale and a segmentation algorithm are established, and anappropriate slope unit is generated; therefore, the method provided by the invention can provide reliable map unit support for geological disaster risk evaluation, and the slope unit division method provided by the invention is high in reliability and relatively high in slope unit division precision.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows us to divide sloping areas into different sizes with multiple scales that are best suited for each area's needs. By doing this we aimed at providing accurate maps supporting environmental hazards such as earthquake or flood damage during timescales ranging from seconds upwards through months.

Problems solved by technology

This patented technical problem addressed in this patents relates to developing an automate strategy called George Hidden Object (GEO) Analysis Programming System (GCAS), specifically designed to accurately determine potential areas where there may have been damages caused due to natural causes like tsunamis during severe weather events. Groundwater Displacement Project(GRDP)/Landslide Detection Plan Interval Existing Grade Unit Division Method (GLMEP) involves complex sorting processes involving multiple steps with varying degrees of success depending upon each other's capabilities. There is currently no uniform way to define groundblock boundaries without relying solely on previous judgment criteria.

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