Partitioned landslide detection system and method based on cascaded deep convolutional neural network

Abstract

The invention discloses a partitioned landslide detection system and method based on a cascaded deep convolutional neural network. According to the partitioned landslide detection method, an image collection module used for acquiring landslide disaster images is included; the database module is used for constructing and storing landslide disaster image samples with different attributes and different regions; the landslide detection model preparation module is used for preprocessing the image, constructing an image pyramid and determining a corresponding region coefficient of each region; and the landslide detection model generation module is used for generating landslide disaster recognition detection models corresponding to different regions, and comprises a visual DLNet detector generation optimization module and a multi-layer cascaded deep convolutional neural network detection model module. According to the method, an artificial intelligence technology is combined with landslide disaster recognition, and a detection model is generated for different regions by using the regional universality of landslide disasters; and a deep convolutional neural network with cascade characteristics is constructed, so that intelligent interpretation of landslide disasters is realized, and the landslide disaster recognition accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of landslide identification, and in particular relates to a partitioned landslide detection system and method based on a cascaded deep convolutional neural network. Background technique [0002] my country has a vast territory, complex terrain and geological conditions, about 70% of the area is mountainous, and geological disasters occur frequently. As a common type of geological disasters, the proportion of landslide disasters is increasing year by year. According to the National Geological Disaster Notification, the number of landslides in my country exceeds a thousand every year, which poses a huge threat to the safety of people's lives and property. In recent years, many hidden dangers of landslide disasters have been detected across the country, and a large number of land areas have been affected by landslide disasters. The monitoring and prevention of landslide disasters is particularly important, and...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a landslide detection system and method based on a cascaded deep convolutional neural network, which combines artificial intelligence technology with landslide disaster identification, utilizes the regional commonality of landslide disasters, and generates different detection models for different regions; Aiming at the difficult problem of landslide image recognition, a deep convolutional neural network with cascading characteristics is constructed, which not only realizes intelligent interpretation of landslide disasters, but also improves the efficiency and accuracy of landslide disaster recognition

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