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融合测绘类核心课程的雷达干涉测量教学研究

Research on teaching radar interferometricmeasurement by integrating core surveying and mapping courses
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摘要 为满足并适应新时代科技发展对合成孔径雷达干涉测量高级人才的紧迫需求,国内相关院校已纷纷开设了合成孔径雷达干涉测量课程。然而,该课程具有学科交叉强、入门门槛高、消化吸收难等特点,导致教学过程中学生出现学习兴趣不高、关键知识掌握不牢固、实践能力不足等问题。对合成孔径雷达干涉测量数据处理中所涉及的测绘核心课程知识进行了梳理,构建了一个融合测绘类核心课程知识点的合成孔径雷达干涉测量教学体系,将已学和新知识进行有机融合,实现知识的互通有无。新的教学体系有效提升了教学效果,实现了人才培养目标。 In order to meet the urgent demand for advanced talents in the field of synthetic aperture radar interferometric measurement to adapt to the development of new era technology,domestic universities and institutions have successively established courses on synthetic aperture radar interferometric measurement.However,this course is characterized by strong interdisciplinary nature,high entry barriers,and difficulties in digestion and absorption,leading to issues such as low student interest,weak mastery of key knowledge,and insufficient practical skills in data processing during the teaching process.The core knowledge of surveying and mapping involved in the processing of synthetic aperture radar interferometric measurement data was organized,and a teaching system for synthetic aperture radar interferometric measurement was constructed by integrating core surveying and mapping knowledge points,organically combining existing and new knowledge,and achieving seamless knowledge exchange.The new teaching system effectively enhances the teaching effectiveness,achieves talent development objectives,and the research outcomes can provide valuable references for similar course instructions in related institutions.
作者 王帅 王彬 Wang Shuai;Wang Bin(School of Geomatics Science and Technology,Nanjing Tech University,Nanjing Jiangsu 211816,China)
出处 《山西建筑》 2023年第21期191-195,共5页 Shanxi Architecture
基金 国家自然科学基金青年基金项目:广域密集三维大地形变约束的喀喇昆仑断裂带滑移特征研究,2023-01-01—2025-12-31(42204001),广义整体最小二乘的理论拓展及其在测绘数据处理中的应用,2021-01-01—2023-12-3(42004002) 教育部“产学合作协同育人”项目:科研与新技术引领的测量平差教学改革研究(202102204005)。
关键词 合成孔径雷达干涉测量 测绘工程 教学模式 synthetic aperture radar interferometry surveying engineering teaching model
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