研究方向

Precision Agriculture and Plant Disease Detection

围绕田间图像中的病斑、虫害和作物生长状态，研究小目标检测、实例分割、多光谱感知与端到端 Transformer 检测方法。

应用场景

• 作物病害监测
• 虫害识别
• 无人机农情巡查

相关研究人员

王瀚祥 · 厉彦芬

代表性成果

• PD-TR: End-to-end plant diseases detection using a transformer

  Computers and Electronics in Agriculture, 224, 109123

  Hanxiang Wang, Tri-Hai Nguyen, Tan N. Nguyen, L. Minh Dang · 2024

  DOI: 10.1016/j.compag.2024.109123

• Crop pest recognition in natural scenes using convolutional neural networks

  Computers and Electronics in Agriculture, 169, 105174

  Yanfen Li, Hanxiang Wang, L. Minh Dang, Abolghasem Sadeghi-Niaraki, Hyeonjoon Moon · 2020

  DOI: 10.1016/j.compag.2019.105174

• Fusarium wilt of radish detection using RGB and near infrared images from Unmanned Aerial Vehicles

  Remote Sensing, 12, 2863

  L. Minh Dang, Hanxiang Wang, Yanfen Li, Kyungbok Min, Jin Tae Kwak, O. Lee, Hanyong Park, Hyeonjoon Moon · 2020

  DOI: 10.3390/rs12172863

• An efficient attention module for instance segmentation network in pest monitoring

  Computers and Electronics in Agriculture, 195, 106853

  Hanxiang Wang, Yanfen Li, L. Minh Dang, Hyeonjoon Moon · 2024

  DOI: 10.1016/j.compag.2022.106853

研究配图：作物健康与病害智能感知。

Remote Sensing Object Detection

面向无人机与遥感图像解译，研究注意力引导特征融合、复杂背景中的小目标检测与高精度目标定位。

应用场景

• 遥感影像解译
• 无人机巡检
• 地物目标监测

相关研究人员

王瀚祥 · 厉彦芬

代表性成果

• ORCNN-X: Attention-driven multiscale network for detecting small objects in complex aerial scenes

  Remote Sensing, 15, 3497

  Yanfen Li, Hanxiang Wang, L. Minh Dang, Hyoung-Kyu Song, Hyeonjoon Moon · 2023

  DOI: 10.3390/rs15143497

• Drone-Based High-Precision Object Detection in Remote Sensing with Attention-Guided Feature Fusion

  Tsinghua Science and Technology, 31, 1263-1281

  Hanxiang Wang, Yanfen Li, Yuanke Zhang, Junliang Shang, Guangshun Li, Liem Dinh-Tien, L. Minh Dang, Hyoung-Kyu Song, Hyeonjoon Moon · 2026

  DOI: 10.26599/tst.2025.9010091

研究配图：复杂场景下的遥感目标定位。

Medical Image Analysis

围绕低剂量 CT 图像的噪声抑制与结构保持，研究上下文 Transformer、领域对比学习和鲁棒视觉表征。

应用场景

• 医学图像预处理
• 图像重建
• 辅助诊断前的图像质量增强

相关研究人员

王瀚祥

代表性成果

• CT-Denoimer: efficient contextual transformer network for low-dose CT denoising

  Physics in Medicine & Biology, 70, 115024

  Yuanke Zhang, Fan Xu, Rui Zhang, Yanfei Guo, Hanxiang Wang, Bingbing Wei, Fei Ma, Jing Meng, Jianlei Liu, Hongbing Lu, Yang Chen · 2025

  DOI: 10.1088/1361-6560/addea6

• DSCN-Net: domain-specific contrastive network for unsupervised low-dose CT denoising

  Neurocomputing, 651, 130919

  Rui Zhang, Yuanke Zhang, Yanfei Guo, Hanxiang Wang, Bingbing Wei, Fei Ma, Jing Meng, Jianlei Liu, Hongbing Lu, Yang Chen · 2025

  DOI: 10.1016/j.neucom.2025.130919

• TumorNet: A hybrid lightweight framework for brain tumor classification and reasoning

  Information Sciences, 746, 123423

  Hanxiang Wang, Muhammad Zaqeem, Muhammad Fayaz, Defu Qiu, Sajjad Ahadzadeh, Tan N. Nguyen, L. Minh Dang · 2026

  DOI: 10.1016/j.ins.2026.123423

研究配图：面向医学成像的智能视觉分析。

Infrared Target Detection

聚焦红外小目标增强、背景杂波抑制与复杂环境下的鲁棒检测。

应用场景

• 夜间感知
• 低可见度监测
• 复杂环境目标识别

研究配图：复杂环境下的红外目标感知。