Synergy between Artificial Intelligence and Hyperspectral Imagining—A Review

The synergy between artificial intelligence (AI) and hyperspectral imaging (HSI) holds tremendous potential across a wide array of fields. By leveraging AI, the processing and interpretation of the vast and complex data generated by HSI are significantly enhanced, allowing for more accurate, efficient, and insightful analysis. This powerful combination has the potential to revolutionize key areas such as agriculture, environmental monitoring, and medical diagnostics by providing precise, real-time insights that were previously unattainable. In agriculture, for instance, AI-driven HSI can enable more precise crop monitoring and disease detection, optimizing yields and reducing waste. In environmental monitoring, this technology can track changes in ecosystems with unprecedented detail, aiding in conservation efforts and disaster response. In medical diagnostics, AI-HSI could enable earlier and more accurate disease detection, improving patient outcomes. As AI algorithms advance, their integration with HSI is expected to drive innovations and enhance decision-making across various sectors. The continued development of these technologies is likely to open new frontiers in scientific research and practical applications, providing more powerful and accessible tools for a wider range of users.

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Institutions

Publication Details

Journal
Technologies
Published
2024-09-13
DOI
https://doi.org/10.3390/technologies12090163
Citations
51
Primary Topic
Remote-Sensing Image Classification
Type
article
Field-Weighted Citation Impact
16.30

Funders

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article

Synergy between Artificial Intelligence and Hyperspectral Imagining—A Review

Ivan Oseledets, Muhammad Ali Butt, Артем Никоноров, Svetlana N. Khonina et al.
51 citations
Technologies
Remote-Sensing Image Classification
16.30
article

Synergy between Artificial Intelligence and Hyperspectral Imagining—A Review

Ivan Oseledets, Muhammad Ali Butt, Артем Никоноров, Svetlana N. Khonina, Nikolay L. Kazanskiy
article en
51 citations

Abstract

The synergy between artificial intelligence (AI) and hyperspectral imaging (HSI) holds tremendous potential across a wide array of fields. By leveraging AI, the processing and interpretation of the vast and complex data generated by HSI are significantly enhanced, allowing for more accurate, efficient, and insightful analysis. This powerful combination has the potential to revolutionize key areas such as agriculture, environmental monitoring, and medical diagnostics by providing precise, real-time insights that were previously unattainable. In agriculture, for instance, AI-driven HSI can enable more precise crop monitoring and disease detection, optimizing yields and reducing waste. In environmental monitoring, this technology can track changes in ecosystems with unprecedented detail, aiding in conservation efforts and disaster response. In medical diagnostics, AI-HSI could enable earlier and more accurate disease detection, improving patient outcomes. As AI algorithms advance, their integration with HSI is expected to drive innovations and enhance decision-making across various sectors. The continued development of these technologies is likely to open new frontiers in scientific research and practical applications, providing more powerful and accessible tools for a wider range of users.

TechnologiesVol. 12(9)
Samara National Research University (RU)
Analytical Center for the Government of the Russian Federation
Openalex Percentile: Top 1%
Remote-Sensing Image Classification
16.30
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