A similar landslide recommendation method based on landslide profile image classification model
A technology of profile images and classification models, applied in character and pattern recognition, instruments, calculations, etc., to achieve the effect of high classification accuracy
Active Publication Date: 2022-05-03
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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[0004] The purpose of the present invention is to provide a similar landslide recommendation method based on a landslide profile image classification model, which is used to solve the problems of automatic classification of landslide profile images and similar landslide recommendation in the prior art
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[0034] Such as figure 1 As shown, a similar landslide recommendation method based on the landslide profile image classification model includes the following steps:
[0035] S1. Use ArcGIS to preprocess the landslide profile images in the collected field investigation form or landslide engineering layout documents to obtain ASCII text type data, read the image array in the text data and store it in a two-dimensional array as training data set;
[0036] S2. On the basis of step S1, the data group is multi-classified according to 7 different landslide geological features, and labeled, and used as a supervised learning sample;
[0037] S3, adopt row-column scanning method to image two-dimensional array, obtain the characteristic array that length is , as sample data;
[0038] S4. Use the random forest algorithm to construct a random forest classification model, import 80% of the sample data for learning, 20% of which are used as a verification set, and 80% are used as a training...
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The application discloses a similar landslide recommendation method based on a landslide section image classification model, which belongs to the fields of image classification and detection and landslide disaster prevention and control. In order to solve the problem of automatic classification of landslide profile images and recommendation of similar landslides in the prior art, the present invention adopts random forest algorithm to classify landslide profile images, and recommends similar landslide cases based on the classification results, which not only has higher classification accuracy of landslide profile images, Moreover, it can also filter similar landslide cases from the database and recommend them to users; describe landslides in a more refined manner based on landslide profile images, mine hidden information, and find more landslide cases that meet the requirements based on the refined description. It can be used as a supplementary basis for landslide disaster management.
Description
technical field [0001] The invention belongs to the field of image classification and detection and landslide disaster prevention and control, and in particular relates to a similar landslide recommendation method based on a landslide profile image classification model. Background technique [0002] As the center of Southwest China, Sichuan is one of the hardest-hit areas with frequent landslides, and has accumulated a lot of valuable research data on landslide research and management. At present, in terms of landslide research, the natural history analysis method and engineering geological analogy method are the mainstream directions, but in terms of big data + landslide research, it is still in its infancy in China. [0003] In a large number of geological disaster field investigation forms and landslide engineering layout documents, landslide profile images integrate a lot of valuable landslide geological information, but manual interpretation of these data requires profe...
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IPC IPC(8): G06V10/74G06V10/764G06V10/774G06K9/62G06N20/20
CPCG06N20/20G06F18/22G06F18/214G06F18/24323
Inventor 郑泽忠戴雷禹朱明仓刘强马鹏程李慕杰李江
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA