Research
Research Field
Dr. Cao’s mainly focused on the development of new models and methods for parameters inversion and information extraction from remote sensing imagery especially for environmental management and natural disaster monitoring. Over the past five years, he was the principle investigator of the National Natural Science Foundation (NSFC) and the Foundation of National/Provincial/Ministerial Key Laboratory. He was also the main investigator of more than 10 scientific research projects, such as the National Key R&D Program, the National Key Basic Research Development Program (973), and the National High-tech Development Program (863). So far, he has published over 50 research papers in journals and conferences.
His current research interests are:
(1) Information extraction and change detection based on Remote Sensing
(2) Environmental Management and Disaster Monitoring
(3) Spatio-temporal information fusion and analysis
Paper Publications
more+- [1] 空间关系增强与异构特征融合相结合的道路信息提取方法,曹云刚,沈星宇,朱高,龚江波,杨鹏.测绘学报
- [2] Improved multi-source remote sensing object detection network by geometry consistency constraint and Gaussian distribution alignment,Cao, Yungang,Yahui Zeng,Baikai Sui,Haibo Cheng.ISPRS Journal of Photogrammetry and Remote Sensing
- [3] An automatic remote sensing image shadow compensation method utilizing reflectance differences and transfer learning,Xingyu Shen,Yungang Cao,Dejun Feng,Shuang Zhang,Baikai Sui.GIScience & Remote Sensing,62(1):2487334
- [4] Detail-Optimized Super-Resolution Reconstruction-Based Multistage Training Strategy for Remote Sensing Semantic Segmentation.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2023,62
- [5] REL-SAGAN: Relative Generation Adversarial Network Integrated With Attention Mechanism for Scene Data Augmentation of Remote Sensing.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2022,15:3107-3119
Patents
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Published Books
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