Multi-source geological disaster information intelligent processing method and device, and storage medium

The invention discloses a multi-source geological disaster information intelligent processing method and device, and a storage medium, and belongs to the technical field of multi-source geological disaster information fusion. The intelligent processing method comprises the following steps of randoml...

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Bibliographische Detailangaben
Hauptverfasser:	CHEN MENGYUAN, ZOU ANQUAN, ZHANG SHENGWEI, YANG TAO, WANG YANG, LIU CHANG, ZU QUANLEI, ZHANG GUANGCHENG, ZHANG FENG, LI XI, PAN FENG, CHEN BIAODIAN, SHEN MING
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	ALARM SYSTEMS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING ORDER TELEGRAPHS PHYSICS SIGNALLING SIGNALLING OR CALLING SYSTEMS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The invention discloses a multi-source geological disaster information intelligent processing method and device, and a storage medium, and belongs to the technical field of multi-source geological disaster information fusion. The intelligent processing method comprises the following steps of randomly extracting a first sample set and a second sample set after manual partial interpretation for a geological disaster sample data set in a research area; all the geological disaster samples of the first sample set and the second sample set are exhaustively combined in pairs, supervised learning training is carried out, and a multi-source geological disaster classification model is obtained; and for two to-be-classified geological disaster samples in the research area, calculating and substituting the characteristics of the two samples into the multi-source geological disaster classification model, outputting the classification results of the two samples, and repeating the steps until the classification of the geolo