I received my Ph.D. from Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China, in June 2024, advised by Prof. Qingyan Meng. From 2021 to 2023, I was a Visiting Ph.D. Student at RSlab, University of Trento, Trento, Italy, advised by Prof. Lorenzo Bruzzone. My research interests include remote sensing image analysis, deep learning, and urban remote sensing.
🔥 News
- 2024.04: 🎉 One co-authored paper has been accepted by JAG (link)!
- 2024.04: 🎉 One co-authored paper has been accepted by TGRS (link)!
- 2024.03: 🎉 One paper has been accepted by RSE (link)!
- 2024.03: 🎉 One paper has been accepted by TGRS (link)!
- 2024.02: 🎉 One co-authored paper has been accepted by JAG (link)!
📝 Publications
Selected
Towards robust classification of multi-view remote sensing images with partial data availability
Maofan Zhao, Qingyan Meng, Lifeng Wang, Linlin Zhang, Xinli Hu, Wenxu Shi
- Propose a unified model to handle both complete views and missing view
Maofan Zhao, Xinli Hu, Linlin Zhang, Qingyan Meng, Yuxing Chen, Lorenzo Bruzzone
- Construct a weakly supervised learning (WSL) framework based on image-level labels for general change detection
Local and Long-Range Collaborative Learning for Remote Sensing Scene Classification
Maofan Zhao, Qingyan Meng, Linlin Zhang, Xinli Hu, Lorenzo Bruzzone
- Propose a local and long-range collaborative framework (L2RCF) for remote sensing scene classification that can fully collaborates CNNs and vision transformers
2024
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Towards robust classification of multi-view remote sensing images with partial data availability, Maofan Zhao, Qingyan Meng, Lifeng Wang, Linlin Zhang, Xinli Hu, Wenxu Shi, Remote Sensing of Environment (RSE), 2024
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Beyond Pixel-Level Annotation: Exploring Self-Supervised Learning for Change Detection With Image-Level Supervision, Maofan Zhao, Xinli Hu, Linlin Zhang, Qingyan Meng, Yuxing Chen, Lorenzo Bruzzone, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
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A deep learning framework for 3D vegetation extraction in complex urban environments, Jiahao Wu, Qingyan Meng, Liang Gao, Linlin Zhang, Maofan Zhao, Chen Su, International Journal of Applied Earth Observation and Geoinformation (JAG), 2024
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A Novel Approach to Incomplete Multimodal Learning for Remote Sensing Data Fusion, Yuxing Chen, Maofan Zhao, Lorenzo Bruzzone, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
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A multimodal fusion framework for urban scene understanding and functional identification using geospatial data, Chen Su, Xinli Hu, Qingyan Meng, Linlin Zhang, Wenxu Shi, Maofan Zhao, International Journal of Applied Earth Observation and Geoinformation (JAG), 2024
2023
- Local and Long-Range Collaborative Learning for Remote Sensing Scene Classification, Maofan Zhao, Qingyan Meng, Linlin Zhang, Xinli Hu, Lorenzo Bruzzone, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
2022
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Multilayer Feature Fusion Network With Spatial Attention and Gated Mechanism for Remote Sensing Scene Classification, Qingyan Meng, Maofan Zhao#, Linlin Zhang, Wenxu Shi, Chen Su, Lorenzo Bruzzone, IEEE Geoscience and Remote Sensing Letters (GRSL), 2022
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DSANet: A Deep Supervision-Based Simple Attention Network for Efficient Semantic Segmentation in Remote Sensing Imagery, Wenxu Shi, Qingyan Meng, Linlin Zhang, Maofan Zhao, Chen Su, Tamás Jancsó, Remote Sensing (RS), 2022
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How do urban morphological blocks shape spatial patterns of land surface temperature over different seasons? A multifactorial driving analysis of Beijing, China, Die Hu, Qingyan Meng, Uwe Schlink, Daniel Hertel, Wenxiu Liu, Maofan Zhao, Fengxiang Guo, International Journal of Applied Earth Observation and Geoinformation (JAG), 2022
2021
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Developing a Method to Extract Building 3D Information from GF-7 Data, Jingyuan Wang, Xinli Hu, Qingyan Meng, Linlin Zhang, Chengyi Wang, Xiangchen Liu, Maofan Zhao, Remote Sensing (RS), 2021
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Land Cover and Crop Classification Based on Red Edge Indices Features of GF-6 WFV Time Series Data, Yupeng Kang, Xinli Hu, Qingyan Meng, Youfeng Zou, Linlin Zhang, Maio Liu, Maofan Zhao, Remote Sensing (RS), 2021
2020
- A Fast and Effective Method for Unsupervised Segmentation Evaluation of Remote Sensing Images, Maofan Zhao, Qingyan Meng, Linlin Zhang, Die Hu, Ying Zhang, Mona Allam, Remote Sensing (RS), 2020
🎖 Honors and Awards
- 2024 Outstanding Graduates of Beijing, Beijing Education Committee. (北京市优秀毕业生)
- 2024 Excellent Prize of CAS President Scholarship, Chinese Academy of Sciences. (中国科学院院长优秀奖)
- 2018 Special Prize of National Geomatics Contest in Programming, The State Bureau of Surveying and Mapping. (全国大学生测绘技能大赛编程特等奖)
📖 Educations
- 2019.09 - 2024.06, Ph.D., Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
- 2021.12 - 2023.11, Visiting Student, University of Trento, Trento, Italy.