首页|A critical review on the state-of-the-art and future prospects of machine learning for Earth observation operations

A critical review on the state-of-the-art and future prospects of machine learning for Earth observation operations

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  • NETL
  • NSTL
  • Elsevier
The continuing Machine Learning (ML) revolution indubitably has had a significant positive impact on the analysis of downlinked satellite data. Other aspects of the Earth Observation industry, despite being less susceptible to widespread application of Machine Learning, are also following this trend. These applications, actual use cases, possible prospects and difficulties, as well as anticipated research gaps, are the focus of this review of Machine Learning applied to Earth Observation Operations. A wide range of topics are covered, including mission planning, fault diagnosis, fault prognosis and fault repair, optimization of telecommunications, enhanced GNC, on-board image processing, and the use of Machine Learning models on platforms with constrained compute and power capabilities, as well as recommendations in the respective areas of research. The review tackles all on-board and off-board applications of machine learning to Earth Observation with one notable exception: it omits all post-processing of payload data on the ground, a topic that has been studied extensively by past authors. In addition, this review article discusses the standardization of Machine Learning (i.e., Guidelines and Roadmaps), as well as the challenges and recommendations in Earth Observation operations for the purpose of building better space missions.

Artificial IntelligenceAstrionicsEarth ObservationEdge ComputingMachine LearningNeural NetworkRemote SensingState-of-the-art

Pablo Miralles、Kathiravan Thangavel、Antonio Fulvio Scannapieco、Nitya Jagadam、Prerna Baranwal、Bhavin Faldu、Ruchita Abhang、Sahil Bhatia、Sebastien Bonnart、Ishita Bhatnagar、Beenish Batul、Pallavi Prasad、Hector Ortega-Gonzalez、Harrish Joseph、Harshal More、Sondes Morchedi、Aman Kumar Panda、Marco Zaccaria Di Fraia、Daniel Wischert、Daria Stepanova

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GTD International, GTD Group, 99 Route d'Espagne, 31100, Toulouse, France, Space Generation Advisory Council (SGAC), c/o European Space Policy Institute, Schwarzenbergplatz 6, 1030 Vienna, Austria

Sir Lawrence Wackett Defence & Aerospace Centre, RMIT University, Melbourne, VIC 3083, Australia, Space Generation Advisory Council (SGAC), c/o European Space Policy Institute, Schwarzenbergplatz 6, 1030 Vienna, Austria, Sapienza University of Rome, Via Eudossiana 18, 00184, Rome, Italy

Space Generation Advisory Council (SGAC), c/o European Space Policy Institute, Schwarzenbergplatz 6, 1030 Vienna, Austria

Space Generation Advisory Council (SGAC), c/o European Space Policy Institute, Schwarzenbergplatz 6, 1030 Vienna, Austria, Department of Electrical & Electronics/Instrumentation & Department of Mathematics, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan 333031, India

Space Generation Advisory Council (SGAC), c/o European Space Policy Institute, Schwarzenbergplatz 6, 1030 Vienna, Austria, Department of Computer Science Engineering, Savitribai Phule Pune University, Pune, Maharashtra 411052, India

Space Generation Advisory Council (SGAC), c/o European Space Policy Institute, Schwarzenbergplatz 6, 1030 Vienna, Austria, Department of Aerospace Engineering, University of Petroleum and Energy Studies, Energy Acres, Bidholi via Premnagar, Dehradun, Uttarakhand 248007, India

Space Generation Advisory Council (SGAC), c/o European Space Policy Institute, Schwarzenbergplatz 6, 1030 Vienna, Austria, Department of Chemical Engineering & Department of Physics, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan 333031, India

Space Generation Advisory Council (SGAC), c/o European Space Policy Institute, Schwarzenbergplatz 6, 1030 Vienna, Austria, Institute of Aviation Studies, University of Management and Technology, Lahore, Pakistan

Space Generation Advisory Council (SGAC), c/o European Space Policy Institute, Schwarzenbergplatz 6, 1030 Vienna, Austria, Sapienza University of Rome, Via Eudossiana 18, 00184, Rome, Italy

Space Generation Advisory Council (SGAC), c/o European Space Policy Institute, Schwarzenbergplatz 6, 1030 Vienna, Austria, ISAE-Ecole Nationale Superieure de Mecanique et d'Aerotechnique, Teleport 2-1 avenue Clement Ader BP 40109 86961 Futuroscope Chasseneuil Cedex, Poitiers, France

Space Generation Advisory Council (SGAC), c/o European Space Policy Institute, Schwarzenbergplatz 6, 1030 Vienna, Austria, Centre for Electronic Warfare Information and Cyber, Cranfield University, The Defence Academy of The UK, Shrivenham SN6 8LA, UK

Space Generation Advisory Council (SGAC), c/o European Space Policy Institute, Schwarzenbergplatz 6, 1030 Vienna, Austria, German Orbital Systems GmbH, Manfred-Fuchs-Platz 2-4, 28359 Bremen, Germany

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2023

10.1016/j.asr.2023.02.025

Advances in space research: The official journal of the Committee on Space Research

Advances in space research: The official journal of the Committee on Space Research

EI
ISSN：0273-1177
年,卷(期)：2023.71(12)
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