
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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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


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


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: Individual Tree Crown Segmentation

Sign Up Shuangqing-1 platform


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: Individual Tree Crown Segmentation

Preliminary

This track has started. Please see the track introduction for the specific schedule.

International Track: HD Remote Sensing Video Weak Target Recognition

Preliminary

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: Individual Tree Crown Segmentation

Canopies play an essential role in biophysical functions of forest environments. The presence and structure of canopies exert significant influences on temperature, vaper concentration, and radiation regime in forests. At an individual tree level, the position, the size, and the geometry of a canopy are important structural characteristics that decides its functions. Hence, individual tree delineation (ITD) from remote sensing (RS) data that provides the structural characteristics of the detected individual trees and their canopies has been becoming one of the most important topics in forest RS research during past two decades. The International Society of Photogrametry and Remote Sensing (ISPRS)’s international contest of individual tree crown (ITC) instance segmentation aims to clarify the state-of-the-art of the tree crown instance segmentation from high-resolution earth observation images through a benchmarking study of different methodological approaches.

Detail

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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