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GUOFENG GROUP ORIENTAl MARITIME SPACE PORT

Information Science Department of NSFC

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

Offline Final Track 1: Optical SAR Fusion De-Cloud

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Slider Image
GUOFENG GROUP ORIENTAl MARITIME SPACE PORT

Information Science Department of NSFC

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

Offline Final Track 2: Object-Level Change Detection

Sign Up Shuangqing-1 platform
Slider Image
GUOFENG GROUP ORIENTAl MARITIME SPACE PORT

Information Science Department of NSFC

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

Offline Final Track 3: Innovative Application Track

Sign Up Shuangqing-1 platform
Slider Image
GUOFENG GROUP ORIENTAl MARITIME SPACE PORT

Information Science Department of NSFC

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

International Track: Fine-grained Forest Scene Segmentation

Sign Up Shuangqing-1 platform
Slider Image
GUOFENG GROUP ORIENTAl MARITIME SPACE PORT

Information Science Department of NSFC

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

International Track: HD Remote Sensing Video Weak Target Recognition

Sign Up Shuangqing-1 platform

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

Offline final track

(track 1, 2)

Preliminary

June 29, 2023 -- August 13, 2023

Offline final track

(track 1, 2)

Semi-final

August 18, 2023 -- September 10, 2023

Offline final track

(track 1, 2)

Final

September 22, 2023 -- September 24, 2023


Offline Final Track 3: Innovative Application Track

Preliminary

June 29, 2023 -- September 17, 2023

Offline Final Track 3: Innovative Application Track

Final

September 22, 2023 -- September 24, 2023


International Track

Preliminary

Not open yet, pending further notice

International Track

Final

Not open yet, pending further notice

Track

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.

Detail

Offline Final Track 2: Object-Level Change Detection

Change detection is of great significance for applications such as "arable land red line" and land use supervision. This track provides additional fine-grained semantic segmentation datasets based on change detection labels. It is hoped that an efficient remote sensing image change detection algorithm model combined with semantic segmentation annotations can be selected to efficiently identify the changed patch information in the image and improve remote sensing images. Rapid change recognition capability. The sponsor will comprehensively evaluate the results of the submitted algorithms in terms of the ability, efficiency and innovation of the object-level change detection of cultivated land-building/ground-breaking, and the final is a competition of accuracy and speed.

Detail

Offline Final Track 3: Innovative Application Track

Relying on Shuangqing-1 (Luojia-3 01 satellite), promote the application innovation of remote sensing technology, encourage contestants to carry out innovative remote sensing technology application research based on the Shuangqing-1 ground simulation platform, with on-orbit remote sensing data processing as the core. Players can use their own algorithms and methods to solve practical problems, including but not limited to disaster emergency response, safety rescue, smart city and other related fields.

Detail
Shuangqing-1 platform

International Track: Fine-grained Forest Scene Segmentation

In the context of carbon peak/carbon neutral (dual carbon) goals, fine inversion of single forest trees is playing an increasingly important role in the study of carbon sequestration capacity of forest environments. At present, the fine-grained forest environment single-tree semantic segmentation based on high-resolution remote sensing images has problems such as limited resolution of remote sensing images, blurred forest scene texture, and mutual occlusion of tree crowns. In order to meet the needs of fine estimation, there is an urgent need for automatic and high-precision ground object element extraction methods.

Detail

International Track: HD Remote Sensing Video Weak Target Recognition

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.

Detail

Supporter

  • Information Science Department of NSFC
  • International Society of Photogrammetry and Remote Sensing

Host

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

Organizer

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

Exclusive Naming Sponsor

  • Yantai Guofeng Investment Holdings Group Co., Ltd

Sponsor

  • Piesat Information Technology Co., Ltd
  • PowerChina SEPCO1 Electric Power Construction Co., Ltd
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