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1 article for “Partially Observable Markov Decision Processes (POMDPs)”

• Published Subscription Review Article 31 Dec 2025

  Impact of Partially Observable Markov Decision Process in Next Generation Satellite for Remote Sensing

  By K.V.V. Subba Rao, Anantham Srujana Jyothi, Manas Kumar Yogi

  Abstract: The integration of Partially Observable Markov Decision Processes (POMDPs) in next- generation satellite systems represents a transformative advancement in remote sensing technology. This article explores how POMDP frameworks address the inherent uncertainties and incomplete observability challenges in satellite operations, including dynamic task scheduling, resource allocation, and adaptive sensing strategies. By modeling satellite decision-making under uncertainty, POMDPs enable autonomous systems to optimize mission objectives while managing constraints such as limited power, …

  Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 20–28 Read article →