摘要
随着人工智能技术在遥感领域的广泛应用,传统高光谱遥感实验课程面临教学内容滞后、实践环节薄弱等问题,亟需进行教学改革。围绕“人工智能+遥感”的核心理念,构建了以智能遥感应用为导向的实验课程体系,提升学生对高光谱数据处理与分析的能力。通过课程设计优化、教学内容重构与项目式实践融入,开展了针对本科生的教学实践。教学效果评价表明,AI技术的引入显著提高了学生的实践能力、问题解决能力与创新意识,为高光谱遥感实验课程的智能化改革提供了可行路径与实践范式。
With the widespread application of artificial intelligence(AI)technology in the field of remote sensing,traditional hyperspectral remote sensing laboratory courses are facing challenges such as outdated teaching content and weak practical components,making teaching reform urgently needed.Centered on the core concept of“AI+Remote Sensing,”an experimental course system oriented toward intelligent remote sensing applications has been developed to enhance students'capabilities in hyperspectral data processing and analysis.Through optimized course design,restructured teaching content,and the integration of project-based practice,undergraduate teaching practices have been implemented.Evaluation of the teaching outcomes indicates that the integration of AI technology significantly improves students'practical skills,problem-solving abilities,and innovation awareness,providing a feasible path and practical model for the intelligent reform of hyperspectral remote sensing laboratory courses.
作者
苏红军
胡君
郑盼
杨雨凡
SU Hong-jun;HU Jun;ZHENG Pan;YANG Yu-fan(College of Geography and Remote Sensing,Hohai University,Nanjing Jiangsu 211100,China;School of Earth Sciences and Engineering,Hohai University,Nanjing Jiangsu 211100,China)
出处
《现代测绘》
2025年第4期10-13,共4页
Modern Surveying and Mapping
基金
江苏省高等教育教改研究课题一般课题(2025JGYB074)
江苏省学位与研究生教育教学改革一般课题(JGKT25_C018)
河海大学本科实践教学改革研究重点项目(河海教务[2024]51号)
河海大学重点教材建设项目(河海教务[2024]25号)。
关键词
高光谱遥感
人工智能
教学改革
人才培养
hyperspectral remote sensing
artificial intelligence technologies
teaching reform
personnel training
