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2019 Vol.6, Issue 3 Preview Page

Original Article

Correlation Analysis on the Water Depth and Peak Data Value of Hyperspectral Imagery

초분광 영상의 최대 강도값과 하천 수심의 상관성 분석

Joongu Kang1
,
Changhun Lee2
,
Hongkoo Yeo1
,
Jongtae Kim2*
강 준구1
,
이 창훈2
,
여 홍구1
,
김 종태2*
1Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Korea
2Nature and Technology Inc., Yecheon-gun 36849, Korea
1한국건설기술연구원 국토보전연구본부
2주식회사 자연과기술
* Corresponding Author
30 September 2019. pp. 171-177
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Abstract

The hyperspectral images can be analyzed in more detail compared to the conventional multispectral images so they can be used for analyzing surface properties which are difficult to detect. Therefore, the purpose of this study is to obtain information on river environment by using actual depth data and drone-based images. For this purpose, this study acquired the image values for 100 points of 1 survey line using drone-based hyperspectral sensors and analyzed the correlation in comparison with the actual depth information obtained through ADCP. The ADCP measurements showed that the depth tended to get deeper toward the center and that the average water depth was 0.81 m. As a result of analyzing the hyperspectral images, the value of maximum intensity was 645 and the value of minimum intensity was 278, and the correlation between the actual depth and the results of analyzing the hyperspectral images showed that the depth increased as the value of maximum intensity decreased.

Keywords
Correlation coefficient
Drone
Hyperspectral
Peak data value
Water depth

초분광 영상은 기존 다중분광 영상에 비해 보다 세밀한 분석이 가능하며 감지가 어려운 지표 성질의 분석에 유용하게 활용될 수 있다. 따라서 본 연구에서는 수심에 대한 실측데이터와 드론 기반의 영상을 이용하여 하천환경 정보를 획득하는 것이 목적으로써 이를 위해 드론 기반의 초분광 센서를 활용하여 1개 측선 100개 지점에 대한 영상값을 취득하였으며 ADCP를 통해 확보된 실제 수심정보와 비교하여 상관관계를 분석하였다. ADCP 측정결과 중앙으로 갈수록 수심이 깊어지는 경향을 보이고 있으며 수심은 평균 0.81 m로 나타났다. 초분광 영상 분석 결과 최대 강도가 가장 높은 지점은 645, 가장 낮은 지점은 278이며 실제 수심과 초분광 영상분석결과의 상관성을 분석한 결과 최대 강도값이 감소할수록 수심은 증가하는 것으로 나타났다.

키워드
상관계수
드론
초분광
최대강도
수심
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Information
  • Publisher :Korean Society of Ecology and Infrastructure Engineering
  • Publisher(Ko) :응용생태공학회
  • Journal Title :Ecology and Resilient Infrastructure
  • Journal Title(Ko) :응용생태공학회 논문집
  • Volume : 6
  • No :3
  • Pages :171-177
  • Received Date : 2019-09-24
  • Revised Date : 2019-09-26
  • Accepted Date : 2019-09-26
  • DOI :https://doi.org/10.17820/eri.2019.6.3.171
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