“遥感图像处理及应用”课程设置和教改措施探究  

Exploration on Curriculum Design and Teaching Reform for Remote Sensing Image Processing and Application

作　　者：胡粲彬 孙晓坤 项德良 HU Can-bin;SUN Xiao-kun;XIANG De-liang(College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China)

机构地区：[1]北京化工大学信息科学与技术学院,北京100029

出　　处：《教育教学论坛》2024年第33期22-25,共4页Education And Teaching Forum

基　　金：2024年度北京化工大学信息科学与技术学院“数字化教育教学”改革项目——“新质生产力视角下神经网络和深度学习课程数字化建设”(SZJG20240203);2024年度北京化工大学信息科学与技术学院“数字化教育教学”改革项目——“人工智能+大化工”特色的模式识别基础课程建设(SZJG20240206)。

摘　　要：“遥感图像处理及应用”课程作为重要的遥感专业课程,面临着一系列挑战和问题。课程涉及跨学科内容,从遥感技术、地理信息系统到数字图像处理,具有实践性和创新性,但存在教材内容滞后、教学方式单一、思政要素融合不足等问题。为解决这些问题,依照课程章节设计了改进措施。在理论教学部分运用案例分析法、学生讨论法、选项提问法提高学生学习效率,在实验教学部分利用流程图法、现场演示法、思维发散法覆盖专业应用实验,以及引用多元化教学模式完善线上教学内容。通过不断的课程完善和教学方法创新,旨在培养专业领域遥感技术应用人才,推动遥感技术的发展与创新。The curriculum of remote sensing image processing and application,as an important course of remote sensing,faces a series of challenges and problems.This course involves interdisciplinary content,from remote sensing technology,geographic information system to digital image processing,etc.,which is practical and innovative,but it has some problems,such as lagging textbook content,single teaching method and insufficient integration of ideological and political teaching.In order to solve these problems,this paper proposes some improvement measures according to the course chapter design.In classroom teaching,case analysis method,student discussion method and option question method are applied to improve students’learning efficiency.In laboratory teaching,flowchart method,on-site demonstration method and thinking divergence method are applied to cover professional application experiments,and diversified teaching modes are used to improve online teaching content.Through continuous curriculum improvement and innovation of teaching methods,it aims to meet the needs of students and society for remote sensing technology application,and promotes the development and innovation of remote sensing technology.

关 键 词：遥感技术 图像处理 教学创新 应用能力 

分 类 号：G643.0[文化科学—高等教育学]