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 | - |