This competition is supported by the Department of Information Science of the National Natural Science Foundation of China and the International Society of Photogrammetry and Remote Sensing, hosted by the "Spatial Information Network Basic Theory and Key Technology" major research plan guidance expert group, and Yantai Guofeng Investment Holding Group Co., Ltd. is the exclusive title , Sponsored by Aerospace Hongtu Information Technology Co., Ltd., PowerChina Shandong Electric Power Construction First Engineering Co., Ltd., and undertaken by the State Key Laboratory of Surveying, Mapping and Remote Sensing Information Engineering of Wuhan University, the School of Remote Sensing Information Engineering of Wuhan University, and the Collaborative Innovation Center of Geospatial Technology .
Offline Final Track 1: Optical SAR Fusion De-Cloud
The imaging quality of optical remote sensing images is easily affected by the weather, and some information may even be missing due to cloud cover. Synthetic aperture radar (SAR) has the advantages of all-day and all-weather imaging, and can provide effective auxiliary information for cloud and fog removal in optical remote sensing images. The participating teams need to use the "cloudless image-cloudy image-SAR image" data set of the same area provided by the organizer to design an optical SAR fusion cloud removal algorithm to achieve high-fidelity reconstruction of missing information in optical remote sensing images assisted by SAR.