[1]沈秋华,赵 燕.融合多源遥感与云平台的水工环地质勘查新技术研究[J].华南地震,2023,(02):90-96.[doi:10.13512/j.hndz.2023.02.10]
SHEN Qiuhua,ZHAO Yan.Research on New Technology of Hydraulic Environment Geological Survey Integrating Multi-source Remote Sensing and Cloud Platform[J].,2023,(02):90-96.[doi:10.13512/j.hndz.2023.02.10]
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融合多源遥感与云平台的水工环地质勘查新技术研究()
华南地震[ISSN:1006-6977/CN:61-1281/TN]
- 卷:
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- 期数:
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2023年02期
- 页码:
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90-96
- 栏目:
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地震科学研究
- 出版日期:
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2023-06-20
文章信息/Info
- Title:
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Research on New Technology of Hydraulic Environment Geological Survey Integrating Multi-source Remote Sensing and Cloud Platform
- 文章编号:
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1001-8662(2023)02-0090-07
- 作者:
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沈秋华; 赵 燕
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广东有色工程勘察设计院,广州 510080
- Author(s):
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SHEN Qiuhua; ZHAO Yan
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Guangdong Nonferrous Metals Engineering Investigation Design Institute , Guangzhou 510080, China
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- 关键词:
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遥感技术; 云平台; KPO定位技术
- Keywords:
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Remote sensing technology; Cloud platform; KPO positioning technology
- 分类号:
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TP75.79
- DOI:
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10.13512/j.hndz.2023.02.10
- 文献标志码:
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A
- 摘要:
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通过对融合多源遥感与云平台的水工环地质勘查新技术进行研究,利用多源遥感技术获取水工环地质数据,处理并提取关键遥感信息,完成对水工环地质问题的解译。基于基础设施云平台构建水工环地质信息云平台,云平台可存储与显示全部由多源遥感技术获取并解译的水工环地质问题,达到对水工环地质信息的社会化共享目的。结果表明:多源遥感技术的应用能够基本查明水工环地质构造分布特征,对各种类型的不良地质进行解译,水工环地质信息服务平台利用云计算、大数据等相关技术,可实现基于多源遥感技术解译的各类水工环地质数据的汇交与共享。
- Abstract:
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This paper studies the new technology of hydraulic environment geological survey integrating multi-source remote sensing and cloud platform. The multi-source remote sensing technology is used to obtain hydraulic environment geological data,process and extract key remote sensing information,and complete the interpretation of hydraulic environment geological problems. Based on the infrastructure cloud platform, the hydraulic environment geological information cloud platform is built, which can store and display all the hydraulic environment geological problems obtained and interpreted by multi-source remote sensing technology, so as to achieve the purpose of social sharing of hydraulic environment geological information. The results show that the application of multi-source remote sensing technology can basically identify the distribution characteristics of hydraulic environment geological structures and interpret various types of bad geology. By using cloud computing, big data and other related technologies, the hydraulic environment geological information service platform can realize the convergence and sharing of all kinds of hydraulic environmental geological data based on the interpretation of multi-source remote sensing technology.
参考文献/References:
[1]李国杰,程学旗.大数据研究:未来科技及经济社会发展的重大战略领域——大数据的研究现状与科学思考[J].中国科学院院刊,2012,27(6):647-657.[2]刘发发,韩红太,张敏,等.基于深度学习和遥感影像的露天矿自动提取方法研究[J].能源与环保,2021,43(6):82-85,262.[3]石月婵,杨贵军,李鑫川,等.融合多源遥感数据生成高时空分辨率数据的方法对比[J].红外与毫米波学报,2015, 34(1):92-99.[4]张立福,张良培,张霞,等.多源遥感数据陆表信息综合解译关键理论、方法及应用基础研究[R].北京:中国科学院遥感与数字地球研究所,2014.[5]刘桂卫,乔平.铁路地质判释遥感图像融合算法优选与应用[J].铁道工程学报,2013(8):22-26.[6]刘桂卫,宁新稳,杜辉,等.铁路三维地质遥感判释软件系统研发与应用[J].铁道工程学报,2016(6):16-21.[7]王尔玺,周一.基于云平台的分布式新能源监控数据分析方法研究[J].能源与环保,2018,40(3):154-158.[8]陆剑予,孔维豪,刘原麟,等.铀矿地质行业云计算平台技术研究与设计[J].铀矿地质,2021,37(4):755-762.
备注/Memo
- 备注/Memo:
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收稿日期:2022-11-20作者简介:沈秋华(1981-),男,硕士,高级工程师,主要从事水工环地质、岩土工程等研究。E-mail:15800019678@163.com
更新日期/Last Update:
2023-06-15