Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Application of unmanned aerial image application red tide monitoring on the aquaculture fields in the coastal waters of the South Sea, Korea

연근해 양식장 주변 적조 모니터링을 위한 무인항공영상 적용 연구

  • Oh, Seung-Yeol (Department of Spatial Information Engineering, Pukyong National University) ;
  • Kim, Dae-Hyun (OCEANTECH CO.) ;
  • Yoon, Hong-Joo (Department of Spatial Information Engineering, Pukyong National University)
  • 오승열 (부경대학교 공간정보시스템공학과) ;
  • 김대현 (오션테크(주)) ;
  • 윤홍주 (부경대학교 공간정보시스템공학과)
  • Received : 2015.12.30
  • Accepted : 2016.01.14
  • Published : 2016.04.30
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Abstract

Red tide, causes aquaculture industry the damages in Korea every summer, was usually detected by using satellite, aquaculture information was difficult to detect by using satellite. Therefore, we suggests the method for detecting the red tide using the coastal observation and the product from the unmanned aerial Vehicle. As a result, we obtained the high resolution unmanned aerial Vehicle images, detected the red tide by using the unsupervised classification from the true color images and the simple algorithm from the RGB color images. Compared the previous color images, unmanned aerial Vehicle images were clearly classified the ocean color, we were able to identify the red tide distribution in sea surface. These methods were determined to accurately monitor the red tide distribution on the aquaculture fields in the coastal waters where is established the aquaculture.

매년 여름 우리나라 양식업에 피해를 입히는 적조를 탐지하기 위한 연구는 대부분 인공위성을 이용하였으나 양식장에 대한 정보는 인공위성으로 산출하기에는 한계를 가진다. 따라서 본 연구에서는 무인항공기를 이용한 연안촬영과 그 산출물을 이용하여 적조를 탐지하는 기법을 제시하였다. 그 결과 높은 해상도를 가진 무인항공영상을 획득 할 수 있었으며 색상을 이용한 무감독 분류와 가시광영역의 세 가지 분광밴드를 이용한 단순 알고리즘을 이용하여 적조를 탐지하였다. 기존의 천연색 영상에 비하여 시각적으로 명확한 해수색의 구분이 가능하였으며 적조의 해수면 분포를 확인할 수 있었다. 이와 같은 방법은 양식장이 설치되어 있는 연안에서 더욱 정확한 적조의 분포 상황을 모니터링 할 수 있을 것으로 판단된다.

Keywords

References

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