Development of Wide-Area Mineral Identification System Using Multispectral Camera Mounted on Drone for Beach Placer Deposits

DOI

10.2991/978-94-6463-318-4_17How to use a DOI?

Keywords

Smart mining; Surface mining; Multispectral; Deep learning; Drone; Placer deposit; Iron sand; Mineral sand

Abstract

Iron sand, a valuable mineral found in placer deposits, is difficult to identify and extract due to the constantly changing nature of beach placer deposits. Traditional visible light cameras mounted on drones are insufficient for identifying specific rocks and minerals. However, hyperspectral cameras provide more comprehensive assessments but can be bulky and time-consuming for data processing. A recent approach involving specialized multispectral bands has emerged as a solution to the disadvantages of hyperspectral imaging. This study proposes using a 6-band DJI P4 multispectral drone and Convolutional Neural Networks (CNN) to automatically identify the composition of mineral sand from the placer deposit located in Kunisaki peninsula, Japan. The combination of multispectral imaging and deep learning techniques has the potential to optimize several aspects of the mining chain, making it an attractive area of research. This study aims to evaluate an efficient approach for the automatic identification of mineral sand composition, using a commercial drone equipped with a multispectral camera, driving towards a more efficient and accurate mineral exploration and extraction processes for the mining industry.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Hiromasa Nozaki
AU  - Natsuo Okada
AU  - Brian Bino Sinaice
AU  - Yoko Otomo
AU  - Youhei Kawamura
PY  - 2023
DA  - 2023/12/31
TI  - Development of Wide-Area Mineral Identification System Using Multispectral Camera Mounted on Drone for Beach Placer Deposits
BT  - Proceedings of the second International Conference on Resources and Technology (RESAT 2023)
PB  - Atlantis Press
SP  - 214
EP  - 232
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-318-4_17
DO  - 10.2991/978-94-6463-318-4_17
ID  - Nozaki2023
ER  -