Special Session 9
Intelligent Processing and Analysis of Aerospace Remote Sensing Images | 航天遥感图像智能处理与分析
Introducation:
The processing and analysis of aerospace remote sensing images play a vital role in urban planning, environmental monitoring, agricultural applications, and more. With the rapid advancement of artificial intelligence technologies, traditional remote sensing image processing methods are undergoing an intelligent transformation. Developing intelligent methods tailored to the unique characteristics of aerospace remote sensing has become a key trend in the field. By integrating cutting-edge technologies such as artificial intelligence and foundation models, there is great potential to significantly enhance the accuracy and efficiency of image analysis, while overcoming the limitations of traditional methods in multi-source image processing, recognition, and fusion analysis tasks.
In light of this, we propose to launch a forum themed “Intelligent Processing and Analysis of Aerospace Remote Sensing Images”, and warmly welcome experts and scholars in related fields to give presentations and submit contributions.
航天遥感图像处理与分析在城市规划、环境监测、农业应用等领域有重要意义。随着人工智能技术的迅猛发展，传统遥感图像处理方法正向智能化转型。研究并发展具有航天遥感特色的垂直领域智能化方法，成为遥感方向的重要趋势。结合人工智能、大模型等前沿技术，有望显著提升图像分析的精度与效率，并突破传统方法在多源遥感图像处理、识别、融合分析等任务中的局限。鉴于此，拟推出以“航天遥感图像智能处理与分析”为主题的论坛，热忱欢迎相关领域的专家学者作报告并投稿投稿。）
Organizers:
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Zhengxia Zou, Beihang University, China
Dr. Zhengxia Zou received his BS degree and his Ph.D. degree from Beihang University in 2013 and 2018. He is currently a Professor at the School of Astronautics, Beihang University. During 2018-2021, he was a postdoc research fellow at the University of Michigan, Ann Arbor. His research interests include remote sensing image processing, computer vision, and deep learning. He has published over 80 peer-reviewed papers in top-tier journals and conferences, including Proceedings of the IEEE, Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing, IEEE / CVF Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV), etc, with over 10000 Google Scholar citations. Dr. Zou serves as an IEEE Senior Member and the Associate Editor for IEEE Transactions on Image Processing. His research has been recognized by NSFC and featured in Xinhua News Agency, New Scientist, AAAS, and MIT Technology Review.
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Bin Pan, Nankai University, China
Bin Pan is a Professor and Ph.D. advisor at the School of Statistics and Data Science, Nankai University. His research interests include aerospace remote sensing image processing, as well as hyperspectral image unmixing, classification, and super-resolution under cross-domain conditions. He has published over 30 first-authored or corresponding-authored papers in prestigious international journals such as IEEE TGRS, IEEE TIP, and ISPRS JPRS. His work includes 4 ESI Hot Papers and 7 ESI Highly Cited Papers. Several of his representative papers have received positive recognition from more than 20 editors-in-chief of leading international journals. He has been awarded the Second Prize of the National Teaching Achievement Award for Graduate Education in Applied Statistics. He has led more than 10 research projects, including those funded by the National Natural Science Foundation of China and collaborative projects with aerospace institutes. He currently serves as Associate Editor for Infrared Physics & Technology and as Guest Editor for special issues of Remote Sensing and Electronics. |
Submission Guideline:
Please submit your manuscript via Online Submission System: https://easychair.org/my/conference?conf=meae2025
Please choose Special Session: Intelligent Processing and Analysis of Aerospace Remote Sensing Images
