陆路交通工程智能遥感地质调查技术体系研究  

Study on the Intelligent Remote Sensing Geological Survey Technology System for Land Transportation Engineering

作　　者：张凯翔 姚洪锡[1] 柏华军[1] 谢浩 李慈航 马俊 ZHANG Kaixiang;YAO Hongxi;BAI Huajun;XIE Hao;LI Cihang;MA Jun(Digital Intelligence Busineas Unit,China Railway Siyuan Survey and Design Group Co.,Ltd.,Wuhan 430063,China)

机构地区：[1]中铁第四勘察设计院集团有限公司数智化事业部,武汉430063

出　　处：《铁道标准设计》2025年第3期30-39,共10页Railway Standard Design

基　　金：国家重点研发计划项目(2021YFB2600400);中国铁建股份有限公司科技重大专项(2022-A02)。

摘　　要：为研究人工智能技术在陆路交通工程遥感地质调查中的应用现状,实现遥感地质调查技术智能化升级,建立陆路交通工程智能遥感地质调查技术体系,基于中国知网(CNKI)数据库,采用文献计量法进行可视化分析,从发文量、研究热点、研究机构等多视角详述遥感地质调查技术应用现状与发展趋势;利用VOSviewer软件分析人工智能技术与多源遥感地质调查技术高频关键词及其关联度,并通过分类统计定量化分析得出研究热点、关联性和发展趋势。结果表明,遥感地质调查技术正由“图谱测量”向“图谱与几何测量”逐步转变,新一代人工智能算法伴随着无人机遥感技术的进步,已成为本领域最热门的研究方向,推动着遥感地质调查技术智能化发展。未来陆路交通工程遥感地质调查技术必然是围绕“空-天-地”协同应用,针对不同遥感影像数据的特点,综合研究不同人工智能算法在各种遥感解译工作场景中的应用。因此,采用系统分析法梳理陆路交通工程遥感地质调查智能升级流程和算法映射关系,从数据智能治理、解译知识库制作、智能解译模型、智能校核验证、成果集成管理五大关键技术点,建立陆路交通工程智能遥感地质调查技术体系。By investigating the current application of artificial intelligence(AI)technology in remote sensing geological survey for land transportation engineering,this study aims to achieve the intelligent upgrading of remote sensing geological survey technologies and develop an intelligent remote sensing geological survey technology system for land transportation engineering.Based on the China National Knowledge Infrastructure(CNKI)database,a visual analysis was conducted using bibliometric methods,providing a comprehensive overview of the application status and development trends of remote sensing geological survey technologies from multiple perspectives,including publication volume,research hotspots,and research institutions.VOSviewer software was used to analyze high-frequency keywords and their correlations between AI technology and multi-source remote sensing geological survey technologies.A quantitative analysis through classification statistics revealed the research hotspots,correlations,and development trends.The results indicate that remote sensing geological survey technologies have gradually shifted from“image measurement”to“image and geometric measurement.”The new generation of AI algorithms,along with advancements in unmanned aerial vehicle remote sensing technologies,has become the most prominent research direction in this field,promoting the intelligent development of remote sensing geological survey technologies.In the future,remote sensing geological survey technologies for land transportation engineering will inevitably focus on“space-air-ground”collaborative applications.This will involve integrated research on the application of various AI algorithms in remote sensing interpretation scenarios,tailored to the characteristics of different remote sensing image data.Therefore,this paper employs a systematic analysis method to outline the intelligent upgrading process and algorithm mapping relationships of remote sensing geological surveys for land transportation engineering.Based on five key t

关 键 词：陆路交通工程 遥感地质调查 人工智能 文献计量 中国知网(CNKI)数据库 

分 类 号：U212[交通运输工程—道路与铁道工程] P237[天文地球—摄影测量与遥感]