Spatial Information Research

  • 제23권2호
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  • Pages.31-38
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  • 2015
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  • 2366-3286(pISSN)
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  • 2366-3294(eISSN)
대한공간정보학회 (Korea Spatial Information Society)
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연안 해저 피복 분류를 위한 항공 초분광영상의 수심보정

Water Column Correction of Airborne Hyperspectral Image for Benthic Cover Type Classification of Coastal Area

  • 투고 : 2015.02.12
  • 심사 : 2015.04.16
  • 발행 : 2015.04.30
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초록

연안 해저 피복 조사에 있어 원격탐사 자료를 이용함으로써 조사의 효율성을 높일 수 있다. 위성영상과 항공영상과 같은 광학 원격탐사자료는 수심의 영향으로 동일한 해저 피복조건에 대해 다른 반사도를 보인다. 이 연구에서는 CASI-1500 항공 초분광영상에 대한 수심보정을 통해 연안 해저 피복에 대한 조사 범위 및 정확도 향상이 가능한지 분석하였다. 연구지역은 강원도 강릉시 연안으로 갯녹음 현상으로 인해 해저 환경이 급격히 변화되고 있는 지역이다. 해저면이 모래인 지점을 대상으로 초분광영상에서 추출한 수체 반사율(water reflectance, $R_W$)과 수심 간의 회귀모델을 통해 밴드별 수심보정 계수를 추정하고, 이를 영상 전체에 적용하였다. 그 결과 수심보정 전 영상에서 수심 6-7m에 한정하여 판독이 가능하였지만 수심보정 후 수심 15m까지 판독이 가능해지고, 수심에 따른 반사율의 변이가 크게 감소하였다. 또한 수심보정을 통해 해저 재질 분류 정확도가 13%p 증가하였다.

Remote sensing data is used to increasing efficiency on benthic cover type survey. Satellite and aerial imagery has variance of reflectance by water column effect even if bottom is consisted with same cover type and condition. This study tried to analyze advances of surveying extent and accuracy through water column correction of CASI-1500 hyperspectral image. Study area is coast of Gangneung city, South Korea where benthic environment is rapidly changing with bleaching of coral reef. Water column correction coefficient was estimated using regression models between water reflectance ($R_W$) and depth for sand bottom then the coefficients were applied to whole image. The results shows that expanded interpretable depth from 6-7m to 15m and decreased variation of reflectance by depth. Additionally, water column corrected reflectance image shows 13%p increased accuracy on benthic cover type classification.

키워드

참고문헌

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