Landslide terrain detection method based on deep neural network

Abstract

The invention provides a landslide terrain detection method based on a deep neural network, and the method comprises the steps: collecting a landslide remote sensing image and digital elevation modeldata, obtaining specific range coordinates of a landslide, and generating a landslide marking map; carrying out data preprocessing on the landslide remote sensing image, the digital elevation model and the landslide labeling graph; and constructing a geologic feature extraction model taking DeepLab V3 + as a framework, and extracting rich geologic features from the remote sensing terrain data set.According to the method, landslide remote sensing image features and digital elevation model features are fused, landslide domain knowledge is combined, geological feature parameters are loaded, a terrain segmentation model is realized on the basis of the DeepLab V3 + architecture, landslide terrain segmentation of pixel-level granularity is completed, and the purpose of landslide terrain detection is achieved.

Description

technical field [0001] The invention belongs to the technical field of geological disaster prediction, and in particular relates to a landslide terrain detection method based on a deep neural network of remote sensing images and digital elevation model data. Background technique [0002] "Hidden dangers of geological disasters" are mostly distributed in the vast western region, where transportation, communication, and electricity are extremely inconvenient, and manual verification is very difficult. On average, landslides cause more than 1,000 casualties, more than 900,000 affected people, and direct economic losses of 2-6 billion yuan each year. How to carry out long-term effective monitoring and timely early warning of hidden dangers of geological disasters, especially landslides and other geological disasters that are extremely harmful, to protect people's lives and reduce property losses of the people, is the key to geological monitoring personnel and related geological ...

AI Technical Summary

Problems solved by technology

[0004] The main problem to be solved by the present invention is to overcome the great dependence of the prior art on labor, reduce the influence of external equipment errors, get rid of the time-consuming and laborious dilemma of landslide survey, provide a landslide terrain detection method based on deep neural network, and use advanced artificial Intelligent technology, using accurate satellite remote sensing data, combined with expert knowledge in the field, the result accuracy rate is high, while ensuring the accuracy of segmentation results, it greatly reduces the investment of human, material and financial resources

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