• Sivakumar V
• Biju C

Mineral prospecting is a key part of the mining industry, focusing on exploring geological features to locate potential mineral deposits. Hyperspectral remote sensing data from satellites and airborne platforms has proven highly effective in addressing common challenges in mineral exploration. This technology is particularly useful for mapping lithology and mineral alterations across various ore mineralization environments. By providing detailed spectral and spatial information, hyperspectral imagery supports early stages of exploration by analyzing Earth's surface features comprehensively. In recent years, combining artificial intelligence (AI) with hyperspectral remote sensing has significantly improved the efficiency and accuracy of mineral prospecting. Studies show that AI algorithms, when integrated with traditional image processing techniques and geological surveys, play a growing role in advancing lithological mapping and mineral exploration using hyperspectral data. This study highlights the growing importance of AI-based approaches in mineral prospecting, offering solutions to overcome traditional challenges and accelerating the exploration process. As both AI and hyperspectral technology continues to advance, their combined potential is poised to revolutionize the future of mineral exploration.

Hyperspectral, AI, remote sensing, mineral

"Artificial intelligence in hyperspectral remote sensing for mineral prospecting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.e844-e846, December-2024, Available :http://www.jetir.org/papers/JETIR2412499.pdf

"Artificial intelligence in hyperspectral remote sensing for mineral prospecting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppe844-e846, December-2024, Available at : http://www.jetir.org/papers/JETIR2412499.pdf