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REMOTE SENSING AND DEEP LEARNING INTEGRATION FOR SPATIAL INTELLIGENCE
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Ventsislav Polimenov; Krassimira Ivanova
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10.5593/sgem2024/2.1
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1314-2704
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English
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24
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2.1
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• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA |
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This review article provides an overview of the combination of remote sensing with deep learning techniques in the last ten years. It specifically examines the emerging patterns and applications in both fields, highlighting their combined use in processing remote sensing data. It focuses on how these techniques have brought about significant changes in environmental monitoring, urban planning, agricultural management, security, and change detection. The article discusses various satellite probes, detailing their specific capabilities, technological attributes, and suitability for diverse observational tasks. Also, it stops attention on multispectral fusion techniques aimed to integrate data from multiple spectral bands or sensors to enhance the overall quality of remote sensing imagery. Additionally, it provides an overview of potential neural network architectures, highlighting the necessity for innovative algorithms that can effectively manage the growing amount and diversity of remote sensing datasets. The discussion revolves around the authors’ aspirations for future research, employing advanced deep learning models for understanding complex spatial and spectral patterns.
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conference
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Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
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24th International Multidisciplinary Scientific GeoConference SGEM 2024, 1 - 7 July, 2024
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
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275-282
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1 - 7 July, 2024
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website
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9945
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Remote Sensing, Deep Learning, Artificial Intelligence, Image Processing, Image Fusion
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