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2021 Vol.31, Issue 4 Preview Page

Research Article

Analysis and Comparison of Rock Spectroscopic Information Using Drone-Based Hyperspectral Sensor
So-Jin Lee1
,
Gyo-Cheol Jeong2
,
Jong-Tae Kim3*
1Researcher, Corporate Research Institute, Nature and Tech Inc.
2Professor, Department of Earth and Environmental Sciences, Andong National University
3CEO, Corporate Research Institute, Nature and Tech Inc.
*Corresponding Author
31 December 2021. pp. 479-492
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Abstract

We conducted a fundamental study on geological and rock detection via drone-based hyperspectral imaging on various types of small rock samples and interpreted the obtained information to compare and classify rocks. Further, we performed hyperspectral imaging on ten rocks, and compared the peak data value and reflectance of rocks. Results showed a difference in the reflectance and data value of the rocks, indicating that the rock colors and minerals vary or the reflectance is different owing to the luster of the surface. Among the rocks, limestone used for hyperspectral imaging is grayish white, inverted rock contains various sizes and colors in the dark red matrix, and granite comprises colorless minerals, such as white, black, gray, and colored minerals, resulting in a difference in reflectance. The reflectance of the visible ray range in ten rocks was 16.00~85.78%, in the near infrared ray range, the average reflectance was 23.94~86.43%, the lowest in basalt and highest in marble in both cases. This is because of the pores in basalt, which caused the difference in reflectance.

Keywords
hyperspectral information
mineral
reflectance
rock detection
visible ray range
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Information
  • Publisher :Korean Society of Engineering Geology
  • Publisher(Ko) :대한지질공학회
  • Journal Title :The Journal of Engineering Geology
  • Journal Title(Ko) :지질공학
  • Volume : 31
  • No :4
  • Pages :479-492
  • Received Date : 2021-11-03
  • Accepted Date : 2021-11-28
  • DOI :https://doi.org/10.9720/kseg.2021.4.479
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