Synergy between Artificial Intelligence and Hyperspectral Imagining—A Review

作者：Svetlana Nikolaevna Khonina, Nikolay Lvovich Kazanskiy, Ivan Valer'evich Oseledets, Artem V. Nikonorov, Muhammad Ali Butt · 发表于：Technologies · 年份：2024 · DOI：10.3390/technologies12090163 · 被引用次数：63 · 研究领域：Remote-Sensing Image Classification、Spectroscopy and Chemometric Analyses、Smart Agriculture and AI

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.