报告详情
  1. 活动首页
  2. 报告清单
  3. 报告详情
A Teaching Case for High-Resolution Magnetic Field Data Reconstruction Based on a Semi-Supervised Super-Resolution Network
编号：52 访问权限：仅限参会人 更新：2026-09-20 10:58:24 浏览：5次 张贴报告

报告开始：暂无开始时间（Asia/Shanghai）

报告时间：暂无持续时间

所在会场：[暂无会议] [暂无会议段]

暂无文件

摘要
Abstract—To address the challenges of acquiring high-resolution magnetic field data and to help students understand the integrated application of sensing technology and advanced deep learning, this paper proposes a teaching case for high-resolution magnetic field data reconstruction based on a semi-supervised super-resolution network. In this case, students are introduced to the engineering contradiction between acquisition speed and image resolution. They first utilize a custom-built experimental platform to capture real magnetic field data, experiencing the difficulty and high cost of constructing large-scale high-resolution training datasets. Subsequently, students are guided to train a semi-supervised model incorporating a Phase-Aware Sparse Encoding Module (PASEM) and a contrastive learning mechanism using simulated data and severely limited real high-resolution samples. Finally, comparative experimental evaluations are conducted to intuitively demonstrate to students the different reconstruction results obtained by various methods under sparse constraints. Through the complete practical process, students not only verify the superior performance of the semi-supervised method compared with the baseline models but also deeply understand the intrinsic connection between data acquisition limitations and algorithm design motivation, thereby establishing a systematic understanding of intelligent condition monitoring systems.
关键词
Magnetic field detection,Super-resolution imaging,Semi-supervised learning,Teaching case
报告人
Wenyue Chen
Mr. Anhui University

稿件作者
Zhiyong Hu Anhui University
Wenyue Chen Anhui University
Haibin Zhang Anhui Zhihuan Technology Co., Ltd.
Siliang Lu Anhui University
发表评论
验证码 看不清楚，更换一张
全部评论
重要日期

  • 会议日期

    11月06日

    2026

    至

    11月08日

    2026

  • 10月15日 2026

    初稿截稿日期

主办单位
IEEE Instrumentation and Measurement Society
承办单位
Sichuan University
联系方式
登录查看完整联系方式
历届会议
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询