Simulation of Regional Economic Development Potential Forecast Model Based on Remote Sensing Information Mining

Zichun Yan
{"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}
引用次数: 0

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.
基于遥感信息挖掘的区域经济发展潜力预测模型仿真
本文对基于遥感信息挖掘的区域经济发展潜力预测模型进行了仿真研究。在相关先进技术的帮助下,物流系统可以提高其运作效率,增强其物流供应能力。同时,在一定程度上,该地区潜在的物流需求将进一步受到增长的刺激。为了进行有效分析,将遥感模型和图像处理框架相结合进行优化选择。通过试验验证了预测模型的正确性。与其他方法相比,该方法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信