Dr Xueyan Dong | Remote Sensing Science and Technology

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Dr Xueyan Dong : Leading Researcher in Remote Sensing Science and Technology

👩‍🎓 Dr. Xueyan Dong:

Welcome to the profile of Dr. Xueyan Dong, a dedicated researcher and expert in the field of Earth observation and information sciences. 🌍

📑 With a portfolio of published work and expertise in areas such as machine learning and computer vision, Dr. Xueyan Dong is not only shaping the future of geospatial sciences but also inspiring others to explore the intersection of technology and the natural world.

👩‍🎓 As a researcher, educator, and expert in her field, Dr. Dong continues to illuminate the path toward a more profound comprehension of Earth’s complexities. Through her endeavors, she invites us to envision a future where technology and environmental understanding coalesce, paving the way for new insights and discoveries.

💼 Professional Profiles:

SCOPUS

🎓 Educational Journey:

Bachelor of Engineering (B.E.) in Remote Sensing Science and Technology from Xi’an University of Science and Technology (2013-2017).

Master of Science in Cartography and Geographic Information Systems from Chang’an University (2017-2019).

Currently pursuing a Doctor of Science in Geological Information System at Chang’an University (2019-present).

🔬 Research Focus:

Dr. Dong’s expertise lies in leveraging cutting-edge technologies for remote sensing and image analysis, with a particular emphasis on:

Building edge detection from high-resolution remote sensing imagery.

Shadow detection in remote sensing images and its application to building extraction.

High-resolution remote sensing image segmentation using advanced convolutional neural networks.

Multilateral semantic approaches with dual relation networks for remote sensing image segmentation.

🌐 Field of Expertise:

Remote Sensing Science and Technology

Remote Sensing Data Processing and Analysis

Machine Learning

Deep Learning/Computer Vision

📚 Dr. Xueyan Dong’s Top Noted Publications:

[2018] Dense Connected Edge Feature Enhancement Network for Building Edge Detection from High Resolution Remote Sensing Imagery

[2019] A Review of Research on Remote Sensing Image Shadow Detection and Application to Building Extraction

[2020] U-shape Nonsubsampled Contourlet Convolution Neural Networks for High Resolution Remote Sensing Image Segmentation

[2021] Multilateral Semantic with Dual Relation Network for Remote Sensing Images Segmentation

🔬 Dr. Xueyan Dong’s Scientific Research:

Building Edge Detection (2018):

  • Focus: Dense Connected Edge Feature Enhancement Network for Building Edge Detection from High Resolution Remote Sensing Imagery.
  • Objective: Develop enhanced methods for accurately detecting building edges in high-resolution remote sensing imagery.
  • Impact: 🌆 Advancement in urban mapping and infrastructure analysis.

Shadow Detection and Building Extraction (2019):

  • Focus: A Review of Research on Remote Sensing Image Shadow Detection and Application to Building Extraction.
  • Objective: Evaluate and propose methodologies for shadow detection in remote sensing images, with application to building extraction.
  • Impact: 🏡 Enhancing precision in urban planning and object extraction.

High-Resolution Image Segmentation (2020):

  • Focus: U-shape Nonsubsampled Contourlet Convolution Neural Networks for High Resolution Remote Sensing Image Segmentation.
  • Objective: Develop advanced segmentation techniques for high-resolution remote sensing images.
  • Impact: 🛰️ Improved accuracy in land cover classification and environmental monitoring.

 

In conclusion, Dr. Xueyan Dong stands as a beacon of knowledge and innovation in the realm of geospatial sciences. 🌐 Her academic journey, marked by a Bachelor’s degree in Remote Sensing Science and Technology, a Master’s degree in Cartography and Geographic Information Systems, and ongoing pursuit of a Doctorate in Geological Information System, reflects a commitment to advancing our understanding of Earth’s dynamics.