Personal Information
- Doctoral Supervisor
- Master Tutor
Gender:
MaleDiscipline:
Photogrammetry and Remote SensingSchool/Department:
测绘遥感信息工程国家重点实验室Education Level:
With Certificate of Graduation for Doctorate StudySchool/Department:
测绘遥感信息工程国家重点实验室Discipline:
1 Photogrammetry and Remote Sensing
E-Mail:
Other Contact Information
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email
Scientific Research
Current position: Home > Scientific Research
Research Field
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Paper Publications
More- [1]. Di Wang , Meiqi Hu , Yao Jin , Yuchun Miao , Jiaqi Yang , Yichu Xu , Xiaolei Qin , Jiaqi Ma , Lingyu Sun , Chenxing Li , Chuan Fu , Hongruixuan Chen , Chengxi Han , Naoto Yokoya , Jing Zhang , Minqiang Xu , Lin Liu , Lefei Zhang , Chen Wu , Bo Du , Dacheng Tao and Liangpei Zhang. Hypersigma: Hyperspectral intelligence comprehension foundation model. IEEE Transactions on Pattern Analysis and Machine Intelligence.
- [2]. Zhenghui Zhao , Di Wang , Chen Wu and Lixiang Ru. TransWCD: Scene-Adaptive Joint Constrained Framework for Weakly-Supervised Change Detection. IEEE Transactions on Geoscience and Remote Sensing.
- [3]. Zhenghui Zhao , Chen Wu , Lixiang Ru , Di Wang , Hongruixuan Chen and Cuiqun Chen. Plug-and-play DISep: Separating dense instances for scene-to-pixel weakly-supervised change detection in high-resolution remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing.
- [4]. Jialu Li and Chen Wu. Using difference features effectively: A multi-task network for exploring change areas and change moments in time series remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing.
- [5]. Ziqian Tan and Chen Wu. Point-based Weakly Semi-Supervised Oriented Vehicle Detection in Optical Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
Published Books
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Research Projects
More- [1]. Major special projects in the ministry of science and technology. 土壤全波段机理模型和反演算法研究.
- [2]. National Natural Science Foundation of China (NSFC). 多时相遥感影像变化检测与城市发展监测.
- [3]. National Natural Science Foundation of China (NSFC). 面向时序高分遥感影像场景变化检测的深度慢特征分析理论研究. 2020-01-01 to 2023-12-30.
- [4]. National Natural Science Foundation of China (NSFC). 基于慢特征分析的高分辨率遥感影像场景变化检测方法研究. 2017-12-01 to 2019-12-31.
- [5]. Provincial municipal and autonomous regional science and technology projects. 基于慢特征分析的长时间序列遥感影像变化检测研究. 2016-01-01 to 2017-12-31.
Research Team
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