IJCNN 2023 


Special Session on: 

Deep Vision in Space

Aim and Scope

Modern AI and advanced sensing technologies have been transforming our ability to monitor the Earth and explore the Universe. By analysing and interpreting data (primarily in the form of imagery) captured by remote sensing devices (like multi/hyper‐spectral imaging or radar/lidar sensors) on satellites, aircrafts or UAVs and astronomical telescopes that operate either on ground or in orbit, valuable insights can be gained into the events on the Earth and the phenomena in the Universe.

Recent years have witnessed rapid advances in remote sensing technologies, resulting in an explosive growth of Earth observation data for probing the entire Earth at daily or even finer granularity. On the other hand, many new astronomical telescopes with enhanced sensing capabilities, like the recently launched James Webb Space Telescope, have been put into operation, generating massive data about the never explored aspects of the Universe. Nowadays, thanks to the boom of modern AI techniques, particularly deep learning, armed by an unprecedented growth in supercomputing power, such space data can be transformed into valuable scientific discoveries and actionable insights which may benefit various fields, such as astronomy, transportation, agriculture, and environment. However, the rapidly increasing complexity and requirements of newly emerging applications in different fields are posing greater challenges to existing AI techniques, leading to the surging needs of technology advancement.

This special session aims to bring together researchers from academia, governments and industries to review past achievements, disseminate latest studies, and explore future directions pertaining to innovating and applying modern AI techniques, particularly deep learning, to analyse space data. Authors are invited to submit original and unpublished works with topics including but not limited to:


Important Dates

Please refer to https://2023.ijcnn.org/authors/key-dates for the latest information.


Paper Submission

All papers should be submitted electronically through: https://2023.ijcnn.org/authors/paper-submissions

NOTE: When you submit your papers to our special session, please select "Special Session: Deep Vision in Space" as your submission portal (shown below).

IJCNN2023 SS DVS Submission


Special Session Co-Chairs

Kai Qin

Department of Computing Technologies, Swinburne University of Technology, Australia

Email: kqin@swin.edu.au

Yuan-Sen Ting

School of Astronomy & Astrophysics, Australian National University, Australia

Email: yuan-sen.ting@anu.edu.au

Avik Bhattacharya

Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, India

Email: avikb@csre.iitb.ac.in


Program Committee

This special session is supported by IEEE Computational Intelligence Society (CIS) Neural Networks Technical Committee (NNTC) Task Force "Deep Vision in Space".