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ORIENTAl MARITIME SPACE PORT 地卫二空间技术
STAR·VISION

Information Science Department of National Natural Science Foundation of China

2023 "Guofeng Orient Smart Eye Cup" Remote Sensing Image Intelligent Processing Algorithm Contest

线下决赛赛道1:光学SAR融合去云

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Diweier logo
ORIENTAl MARITIME SPACE PORT 地卫二空间技术
STAR·VISION

Information Science Department of National Natural Science Foundation of China

2023 "Guofeng Orient Smart Eye Cup" Remote Sensing Image Intelligent Processing Algorithm Contest

线下决赛赛道2:弱小目标检测跟踪

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Background


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 .

Stage


Preliminary


June 29, 2023 -- August 13, 2023

Semi-final


August 18, 2023 -- Mid-to-early September 2023

Final


Mid-to-late September 2023


Track


线下决赛赛道1:光学SAR融合去云

光学遥感影像成像质量极易受到天气影响,甚至存在完全因云层遮挡而导致部分信息缺失现象。合成孔径雷达(SAR)具有全天时、全天候成像的优势,能够为光学遥感影像中云雾去除提供有效的辅助信息。参赛队伍需通过利用主办方提供的同一区域“无云影像-含云影像-SAR影像”数据集进行光学SAR融合去云算法设计,实现SAR辅助下光学遥感影像缺失信息高保真重建。


线下决赛赛道2:弱小目标检测跟踪

Small target recognition based on high-definition remote sensing video is of great significance for applications such as traffic monitoring and urban management. However, due to the lack of high-quality, well-annotated large-scale datasets, weak and small object recognition is still an extremely challenging task. The participating teams need to build weak target recognition algorithms to detect and track targets accurately in real time.

Supporter

  • Information Science Department of National Natural Science Foundation of China

Host

  • Guiding Expert Group of the Major research program of "Basic Theory and Key Technologies of Spatial Information Network"

Organizer

  • State Key Laboratory of Surveying, Mapping and Remote Sensing Information Engineering, Wuhan University
  • School of Remote Sensing Information Engineering, Wuhan University
  • Collaborative Innovation Center of Geospatial Technology
  • Oriental Aerospace Port (Shandong) Development Group Co., Ltd.

Exclusive Naming Sponsor