Sanika Anil Bhosale,
Kazi Kutubuddin Sayyad Liyakat,
- Student, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology (BMIT), Solapur, Maharashtra, India
- Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology (BMIT), Solapur, Maharashtra, India
Abstract
For decades, satellites have been a vital infrastructure, relaying communication signals, observing Earth’s climate, and providing critical navigation data. However, the traditional model of satellite operation is often rigid and reactive, relying heavily on pre-programmed instructions and ground-based control. This limits their flexibility and responsiveness in a rapidly changing environment. Enter software-defined satellites (SDS), and now, the game-changer: artificial intelligence (AI). Imagine a satellite that can independently analyze its surroundings, anticipate potential problems, and reconfigure itself to adapt to evolving mission objectives – that is the promise of AI-based SDS. This fusion of advanced technologies is poised to revolutionize space operations, ushering in an era of autonomous decision-making and unprecedented efficiency. AI-based SDS represent a paradigm shift in space operations, promising to unlock unprecedented levels of autonomy, efficiency, and resilience. By combining the flexibility of SDS with the intelligence of AI, we are paving the way for a new era of space exploration and utilization, one where satellites can truly think for themselves and contribute to a more connected and sustainable future. The journey towards fully autonomous space systems is just beginning, but the potential rewards are well worth the effort.
Keywords: Satellite, software-defined satellite (SDS), decision making, artificial intelligence
[This article belongs to International Journal of Satellite Remote Sensing ]
Sanika Anil Bhosale, Kazi Kutubuddin Sayyad Liyakat. AI-Based Software-Defined Satellite in Decision Making: A Study. International Journal of Satellite Remote Sensing. 2025; 03(01):63-72.
Sanika Anil Bhosale, Kazi Kutubuddin Sayyad Liyakat. AI-Based Software-Defined Satellite in Decision Making: A Study. International Journal of Satellite Remote Sensing. 2025; 03(01):63-72. Available from: https://journals.stmjournals.com/ijsrs/article=2025/view=207998
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Volume | 03 |
Issue | 01 |
Received | 28/03/2025 |
Accepted | 29/03/2025 |
Published | 08/04/2025 |
Publication Time | 11 Days |