A Study on Red Tide Detection Technique by Comparison of Spectral Similarity

DC Field Value Language
dc.contributor.author 백수호 -
dc.contributor.author 황도현 -
dc.contributor.author 김흥민 -
dc.contributor.author 강돈혁 -
dc.contributor.author 윤홍주 -
dc.date.accessioned 2020-07-15T14:52:41Z -
dc.date.available 2020-07-15T14:52:41Z -
dc.date.created 2020-02-11 -
dc.date.issued 2017-09-08 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/23847 -
dc.description.abstract This study proposes a method to detect red tide( Cochlodinium polykrikoides ) using Water-leaving radiance data and Absorption Coefficients data obtained from Geostationary Ocean Color Imager(GOCI) in the South Sea of Korea. The proposed algorithm detected the red tide pixels from the satellite image through the two-step filtering process. In the first step, clear water pixels were removed using the spectral slope change of Water-leaving radiance spectrum from 490nm to 555nm. In the second step, turbid water pixels were removed using the dynamic time warping algorithm for detects red tide pixels. The calculation process that proposed algorithm in this study was shorter than the previous study. In addition, proposed algorithm could be detected red tide pixel from turbid water as well as clear water.gorithm detected the red tide pixels from the satellite image through the two-step filtering process. In the first step, clear water pixels were removed using the spectral slope change of Water-leaving radiance spectrum from 490nm to 555nm. In the second step, turbid water pixels were removed using the dynamic time warping algorithm for detects red tide pixels. The calculation process that proposed algorithm in this study was shorter than the previous study. In addition, proposed algorithm could be detected red tide pixel from turbid water as well as clear water. -
dc.description.uri 1 -
dc.language English -
dc.publisher NGCIT 2017 -
dc.relation.isPartOf The 6th International Conference on Next Generation Computer and Information Technology (NGCIT 2017) -
dc.title A Study on Red Tide Detection Technique by Comparison of Spectral Similarity -
dc.type Conference -
dc.citation.endPage 141 -
dc.citation.startPage 137 -
dc.citation.title The 6th International Conference on Next Generation Computer and Information Technology (NGCIT 2017) -
dc.contributor.alternativeName 강돈혁 -
dc.identifier.bibliographicCitation The 6th International Conference on Next Generation Computer and Information Technology (NGCIT 2017), pp.137 - 141 -
dc.description.journalClass 1 -
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