Remote Sensing
The remote sensing group currently has postdoc Runmin Dong, Phd student Miao Yang, and one undergraduate student Fan Wei. Our research interests include land cover mapping, tree detection, infrastructure extraction (e.g., road extraction, building extraction), remote sensing images quality improvement (e.g., image super-resolution, image deblurring) and so on.
Land Cover Mapping
Land cover mapping, oil palm plantation mapping, agricultural mapping
[1] Runmin Dong, Cong Li, Haohuan Fu*, Jie Wang, Weijia Li, Yi Yao, Lin Gan, Le Yu, and Peng Gong*. Improving 3-m resolution land cover mapping through efficient learning from an imperfect 10-m resolution map. Remote Sensing, 2020, 12(9), 1418.
[2] Weijia Li, Runmin Dong, Haohuan Fu*, Jie Wang, Le Yu, and Peng Gong. Integrating Google Earth imagery with Landsat data to improve 30-m resolution land cover mapping. Remote Sensing of Environment. 2020 Feb 1; 237:111563.
[3] Runmin Dong, Weijia Li*, Haohuan Fu, Lin Gan, and Maocai Xia. Oil palm plantation mapping from high-resolution remote sensing images using deep learning. International Journal of Remote Sensing, 2019, 41, 2022–2046.
[4] Runmin Dong, Weijia Li*, Haohuan Fu, Maocai Xia, and Le Yu. Semantic segmentation based large-scale oil palm plantation detection using high-resolution satellite images. In 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) Conference.
Tree Detection
[1] Zheng, J., Fu, H., Li, W.#, Wu, W., Zhao, Y., Dong, R. and Yu, L., 2020. Cross-regional oil palm tree counting and detection via a multi-level attention domain adaptation network. ISPRS Journal of Photogrammetry and Remote Sensing, 167, pp.154-177. [Paper] [Code]
[2] Wu, W.*, Zheng, J.*, Fu, H.#, Li, W. and Yu, L., 2020. Cross-Regional Oil Palm Tree Detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (pp. 248-257). [Paper] [Data] [Slide]
[3] Zheng, J., Li, W.#, Xia, M., Dong, R., Fu, H. and Yuan, S., 2019, July. Large-Scale Oil Palm Tree Detection from High-Resolution Remote Sensing Images Using Faster-RCNN. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 1422-1425). IEEE. [Paper]
[4] Weijia Li, Runmin Dong, Haohuan Fu*, and Le Yu*. Large-Scale Oil Palm Tree Detection from High-Resolution Satellite Images Using Two-Stage Convolutional Neural Networks. Remote Sensing, 2019, 11(1),11.
Infrastructure Extraction
Building Extraction, Road Extraction
[1] Weijia Li, Conghui He, Jiarui Fang, Juepeng Zheng, Haohuan Fu* and Le Yu. Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data. Remote Sensing, 2019, 11(4), 403.
[2] Shuai Yuan, Runmin Dong, Juepeng Zheng, Wenzhao Wu, Lixian Zhang, Weijia Li and Haohuan Fu*. Long Time-Series Analysis of Urban Development Based on Effective Building Extraction. Proc. SPIE 11398, Geospatial Informatics X, 113980M (21 April 2020).
Remote Sensing Images Quality Improvement
Super resolution, image deblurring, perceptional improvement of remote sensing
[1] Runmin Dong, Lixian Zhang and Haohuan Fu*. RRSGAN: Reference-based Super-Resolution for Remote Sensing Image. IEEE Transactions on Geoscience and Remote Sensing. (Accepted)