Deep neural networks for removing clouds and nebulae from satellite images
Glazyrina N. Muratkhan R. Eslyamov S. Murzabekova G. Aziyeva N. Rysbekkyzy B. Orynbayeva A. Baktiyarova N.
October 2024Institute of Advanced Engineering and Science
International Journal of Electrical and Computer Engineering
2024#14Issue 55390 - 5399 pp.
This research paper delves into contemporary methodologies for eradicating clouds and nebulae from space images utilizing advanced deep learning technologies such as conditional generative adversarial networks (conditional GAN), cyclic generative adversarial networks (CycleGAN), and space-attention generative adversarial networks (space-attention GAN). Cloud cover presents a significant obstacle in remote sensing, impeding accurate data analysis across various domains including environmental monitoring and natural resource management. The proposed techniques offer novel solutions by leveraging spatial attention mechanisms to identify and subsequently eliminate clouds from images, thus uncovering previously concealed information and enhancing the quality of space data. The study emphasizes the necessity for further research aimed at refining cloud removal algorithms to accommodate diverse detection conditions and enhancing the overall efficiency of deep learning in satellite image processing. By highlighting potential benefits and advocating for ongoing exploration, the paper underscores the importance of advancing cloud removal techniques to improve data quality and unlock new applications in Earth remote sensing. In conclusion, the proposed approaches hold promise in addressing the persistent challenge of cloud cover in space imagery, paving the way for more accurate data analysis and future advancements in remote sensing technologies.
adversarial network , Cloud removal , Conditional generative networks , Cyclic generative networks , Deep learning technologies , Space-attention generative
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Department of Computer and Software Engineering, Faculty of Information Technology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Department of Applied Mathematics and Informatica, Karaganda Buketov University, Karaganda, Kazakhstan
Department of Radio Engineering, Electronics, and Telecommunications, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Department of Computer Sciences, S. Seifullin Kazakh Agrotechnical Research University, Astana, Kazakhstan
Department of Information Security, Faculty of Information Technology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Department of Information Technology and Security, Innovative Technologies, Karaganda Technical University named after A. Saginov, Karaganda, Kazakhstan
Department of Biostatistics, Bioinformatics and Information Technology, Astana Medical University, Astana, Kazakhstan
Department of Computer and Software Engineering
Department of Applied Mathematics and Informatica
Department of Radio Engineering
Department of Computer Sciences
Department of Information Security
Department of Information Technology and Security
Department of Biostatistics
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