{"title":"基于遥感信息挖掘的区域经济发展潜力预测模型仿真","authors":"Zichun Yan","doi":"10.1109/ICIRCA51532.2021.9545072","DOIUrl":null,"url":null,"abstract":"This research paper conducts the research on the simulation of regional economic development potential forecast model based on remote sensing information mining. With the help of relevant advanced technology, the logistics system can improve its operational efficiency and enhance its logistics supply capacity. At the same time, to a certain extent, the potential logistics demand in the region will be further stimulated by growth. For the efficient analysis, the remote sensing models and the image processing frameworks are combined for the optimal selection. The prediction model is verified through the test. Compared with the other approaches, the proposed is efficient.","PeriodicalId":245244,"journal":{"name":"2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation of Regional Economic Development Potential Forecast Model Based on Remote Sensing Information Mining\",\"authors\":\"Zichun Yan\",\"doi\":\"10.1109/ICIRCA51532.2021.9545072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research paper conducts the research on the simulation of regional economic development potential forecast model based on remote sensing information mining. With the help of relevant advanced technology, the logistics system can improve its operational efficiency and enhance its logistics supply capacity. At the same time, to a certain extent, the potential logistics demand in the region will be further stimulated by growth. For the efficient analysis, the remote sensing models and the image processing frameworks are combined for the optimal selection. The prediction model is verified through the test. Compared with the other approaches, the proposed is efficient.\",\"PeriodicalId\":245244,\"journal\":{\"name\":\"2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIRCA51532.2021.9545072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIRCA51532.2021.9545072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simulation of Regional Economic Development Potential Forecast Model Based on Remote Sensing Information Mining
This research paper conducts the research on the simulation of regional economic development potential forecast model based on remote sensing information mining. With the help of relevant advanced technology, the logistics system can improve its operational efficiency and enhance its logistics supply capacity. At the same time, to a certain extent, the potential logistics demand in the region will be further stimulated by growth. For the efficient analysis, the remote sensing models and the image processing frameworks are combined for the optimal selection. The prediction model is verified through the test. Compared with the other approaches, the proposed is efficient.
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