IEEE CIS Neural Networks Technical Committee        

            Task Force on Deep Vision in Space



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About the Task Force



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 imagery) captured by remote sensing devices (like multi/hyper‐spectral imaging or radar 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 histories of 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.



The goal of this task force is to provide a forum for the researchers from academia, governments and industries, who are conducting or interested in space data relevant research and applications, to make versatile collaborations on innovating and applying modern AI techniques, particularly deep learning, to analyse space data, primarily remote sensing and astronomical imagery, aiming to fully unleash the potential values of space data to benefit wider‐ranging fields.



The scope of this task force covers the following parts:







     Prof. Kai (Alex) Qin (Chair)

     Swinburne University of Technology






    Assoc. Prof. Yuan-Sen Ting (Vice-Chair)

    Australian National University









NEW!  We are calling for papers for the Special Session "Deep Vision in Space" to be held at IJCNN 2023, Gold Coast,  Australia, June 18-23, 2023


15-Nov-2022            We proposed a Special Session "Deep Vision in Space" at IJCNN 2023, Gold Coast,  Australia, June 18-23, 2023

25-Oct-2022              Prof. Kai (Alex) Qin attended the 14th Australian Space Forum held in Adelaide, SA, Australia

15-Aug-2022             We organised a Special Issue on "Computational Intelligence for Remote Sensing Image Analysis and Applications”, MDPI Remote Sensing, 2022

01-Jun-2022              We organised a Special Issue (Topic) on "Computational Intelligence in Remote Sensing, MDPI Applied Sciences, Electronics, Mathematics, Remote Sensing, Algorithms, and AI

07-Apr-2022             Prof. Kai (Alex) Qin gave a talk "Deep Vision Towards the Earth and Universe" at the 2022 SmartSat CRC AI4Space Workshop, Brisbane, Australia, April 7, 2022



If you are interested in joining us or have any suggestions for us, please feel free to contact our chairs or members via email.


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