Innovations in AI-Based Satellite Data Processing for Earth Observation

Vishnu Kumar Kaliappan

Abstract


This paper explores innovations in artificial intelligence (AI) techniques for processing satellite data in Earth observation applications. We discuss the integration of machine learning and deep learning algorithms to enhance data analysis, image classification, and anomaly detection. The study highlights various AI methods, including convolutional neural networks and supervised learning techniques, and their application in improving the accuracy and efficiency of satellite data processing. Experimental results demonstrate the effectiveness of AI-driven approaches in extracting valuable insights from satellite imagery. This research contributes to the ongoing advancement of satellite data processing, paving the way for more effective Earth observation solutions.

Keywords


satellite data processing, Earth observation, AI, machine learning, deep learning

References


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Pastena, M., Domínguez, B. C., Mathieu, P. P., Regan, A., Esposito, M., Conticello, S., ... & Foglia, P. (2019). ESA Earth observation directorate NewSpace initiatives.


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