测绘通报 ›› 2021, Vol. 0 ›› Issue (2): 157-160.doi: 10.13474/j.cnki.11-2246.2021.0065

• 测绘地理信息教学 • 上一篇    下一篇

卫星+AI时代遥感专业模式识别课程的教学实践与改革

李二珠, 康建荣, 张莲蓬   

  1. 江苏师范大学地理测绘与城乡规划学院, 江苏 徐州 221116
  • 收稿日期:2020-09-19 修回日期:2020-11-04 出版日期:2021-02-25 发布日期:2021-03-09
  • 通讯作者: 康建荣。E-mail:jrkang@263.net
  • 作者简介:李二珠(1988-),男,博士,讲师,研究方向为数字图像处理与模式识别。E-mail:lierzhu2008@126.com
  • 基金资助:
    国家自然科学基金(41801327);江苏高校优势学科建设工程资助项目

Teaching practice and reform of pattern recognition course of remote sensing major in the era of satellite+AI

LI Erzhu, KANG Jianrong, ZHANG Lianpeng   

  1. School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China
  • Received:2020-09-19 Revised:2020-11-04 Online:2021-02-25 Published:2021-03-09

摘要: 在人工智能时代深化遥感产业发展背景下,遥感专业人才培养需要与时俱进,以提高人工智能应用能力。本文针对目前遥感科学与技术专业人工智能核心课程模式识别教学现状及存在的问题,提出面向遥感专业应用导向的模式识别课程建设思路,从教学内容和实践环节两个方面设计了以提高遥感专业学生人工智能应用能力为目的的教学方案。从教学反馈结果来看,本文提出的教学思路不仅激发了学生对模式识别课程学习的兴趣,而且提高了学生应用模式识别方法进行遥感信息解译的能力。

关键词: 人工智能, 遥感, 人才培养, 模式识别, 教学

Abstract: In the era of artificial intelligence (AI) and deepening the development of the remote sensing industry, the training of remote sensing professionals needs to keep pace with the times and improve the ability of AI applications. Aiming at the current situation and existing problems of patterning recognition teaching as one of the core AI courses of remote sensing and technology, an application-oriented pattern recognition course construction idea is proposed for remote sensing major. Specifically, a teaching program is designed to improve the ability of AI applications from two aspects of teaching and practice content. From the results of teaching feedback, the teaching ideas proposed in this paper have stimulated students' interest in pattern recognition course and improved their ability to use pattern recognition methods in interpreting remote sensing information.

Key words: artificial intelligence, remote sensing, talent training, pattern recognition, teaching

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