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CDCEO 2022 2nd workshop on Complex Data Challenges in Earth Observation Vienna, Austria, July 23-25th, 2022 (exact date TBD) Co-located with IJCAI-ECAI 2022 Submission deadline: May 31st, 2022 Workshop website: www.iarai.ac.at/cdceo22 ===================================================== ABOUT CDCEO The Big Data accumulating from remote sensing technology in ground, aerial, and satellite-based Earth Observation (EO) has radically changed how we monitor the state of our planet. The ever-growing availability of high-resolution remote sensing data increasingly confronts researchers with the unique machine learning challenges posed by characteristic heterogeneity and correlation structures in these data. In this workshop we will bring together leading researchers from both academia and industry across diverse domains of AI, including experts from AI, big data, remote sensing, computer vision, spatio-temporal data processing, geographic information systems, and weather and climate modelling, as well as other scientists or engineers with a general interest in the application of modern data analysis methods within the EO domain. This workshop is organised as a physical meeting and is part of IJCAI-ECAI 2022, the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence. ===================================================== WORKSHOP TOPICS The workshop invites advanced applications and method development in image and signal processing, data fusion, feature extraction, meta learning, and many more. The topics covered by the workshop theme include but are not limited to: Trustworthy AI for Earth observation Physics-informed machine learning for Earth observation Human-in-the-loop Earth observation data analysis Edge AI for Earth observation Vision and language for Earth observation Fairness and accountability in Earth observation data analysis Spatio-temporal data processing and analysis Multi-resolution, multi-temporal, multi-sensor, and multi-modal Earth observation data fusion Machine learning for weather and climate research Deep learning and its applications to, e.g., semantic segmentation, scene classification, and feature extraction Meta learning, including transfer learning, few-shot learning, and active learning Integration and aggregation of complementary remote sensing measurements Benchmark datasets with applications to Earth Observation ===================================================== IMPORTANT DATES Submission starts: April 1st, 2022 Workshop paper submission deadline: May 31st, 2022 Notification of paper acceptance: June 15th, 2022 Camera-ready paper submission deadline: June 30th, 2022 Workshop date: July 23-25th, 2022 (exact date TBD) ===================================================== SUBMISSION INFORMATION Authors are invited to submit original papers presenting research, position papers or papers presenting research in progress that have not been previously published, and are not being considered for publication elsewhere. Blind reviewing process performed by members of the Program Committee will be applied to select papers based on their novelty, technical quality, potential impact, clarity, and reproducibility. Workshop papers will be included in a Workshop Proceedings published by http://ceur-ws.org/. Papers must be formatted in CEUR two column style guidelines. The page limit is 4 – 6 pages plus references. At least one of the authors of the accepted papers must register for the workshop for the paper to be included into the workshop proceedings. Please use the following link to submit your contribution: https://easychair.org/conferences/?conf=cdceo2022 ===================================================== LANDSLIDE4SENSE COMPETITION A special session of the workshop will present the winning solutions and highlights from a unique Landslide4Sense competition Realistic data for training and testing machine learning models has become vitally important for many branches of cutting-edge research in EO. The aim of Landslide4Sense is to promote innovative algorithms for automatic landslide detection using globally distributed remotely sensed images, as well as to provide objective and fair comparisons among different methods. discloses a unique large-scale multi-modal globally distributed benchmark dataset consisting of satellite images with more than 5000 patches on landslide detection. The first three participants with the highest F1 scores will be introduced as winners. In addition, allowing competition participants to provide innovative ideas more freely without being limited to a clear numerical metric, two more selected submissions will be awarded the special prizes. The ranking of these two submissions is based on the evaluation of the methodological descriptions of the introduced method by the Landslide4Sense competition committee as well as international expert reviewers. Please check the competition website to find out more information on the dataset and the competition deadlines: https://www.iarai.ac.at/landslide4sense/ ===================================================== WORKSHOP VENUE The workshop is a part of IJCAI-ECAI 2022 conference. The conference venue is Messe Wien Exhibition and Congress Center, which is one of the most modern exhibition and conference centres. Messe Wien Hall B, entrance Congress Center Messeplatz 1 A-1020 Vienna Metro stop U2 “Messe Prater” Please find more information about the conference venue here: https://ijcai-22.org/venue/ ===================================================== ORGANIZERS Organising Committee Pedram Ghamisi, Helmholtz-Zentrum Dresden-Rossendorf, Germany and Institute of Advanced Research in Artificial Intelligence, Austria Aleksandra Gruca, Silesian University of Technology, Poland Naoto Yokoya, University of Tokyo, Japan; RIKEN Center for Advanced Intelligence Project, Japan Jun Zhou, Griffith University, Australia Caleb Robinson, Microsoft AI for Good Research Lab, Redmond, USA Fabio Pacifici, Maxar Technologies Pierre-Philippe Mathieu, European Space Agency Φ-lab, Italy Sepp Hochreiter, Institute of Advanced Research in Artificial Intelligence, Austria Steering Committee Pedram Ghamisi, Helmholtz-Zentrum Dresden-Rossendorf, Germany and Institute of Advanced Research in Artificial Intelligence, Austria Ioannis Giannopoulos, Technical University of Vienna Austria Michael Kopp, Institute of Advanced Research in Artificial Intelligence, Switzerland David Kreil, Institute of Advanced Research in Artificial Intelligence, Austria Programme Committee Shizhen Chang, Institute of Advanced Research in Artificial Intelligence, Austria Leyuan Fang, Hunan University, China Omid Ghorbanzadeh, Institute of Advanced Research in Artificial Intelligence, Austria Wei He, Wuhan University, China Danfeng Hong, Aerospace Information Research Institute, CAS, China Andrzej Kucik, European Space Agency, Italy Manil Maskey, National Aeronautics and Space Administration, USA Claudio Pressello, University of Twente, The Netherlands Behnood Rasti, HZDR, Germany Bertrand Le Saux, European Space Agency Φ-lab, Italy Rochelle Schneider, European Space Agency Φ-lab, Italy Rongjun Qin, The Ohio State University, USA Junshi Xia, RIKEN, Japan Martin Werner, Technical University of Munich, Germany Fengchao Xiong, Nanjing University of Science and Technology, China Yonghao Xu, Institute of Advanced Research in Artificial Intelligence, Austria Contact: [email protected] |
Summary |
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CDCEO 2022 : 2nd Workshop on Complex Data Challenges in Earth Observation will take place in Vienna, Austria. It’s a 3 days event starting on Jul 23, 2022 (Saturday) and will be winded up on Jul 25, 2022 (Monday). CDCEO 2022 falls under the following areas: EARTH OBSERVATION, REMOTE SENSING, ARTITIFICAL INTELLIGENCE, MACHINE LEARNING, etc. Submissions for this Workshop can be made by May 31, 2022. Authors can expect the result of submission by Jun 15, 2022. Upon acceptance, authors should submit the final version of the manuscript on or before Jun 30, 2022 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the CDCEO 2022
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Credits and Sources |
| [1] CDCEO 2022 : 2nd Workshop on Complex Data Challenges in Earth Observation |
