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HAZARDOUS NOXIOUS SUBSTANCE DETECTION BASED ON HYPERSPECTRAL REMOTE SENSING TECHNIQUE
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Jae-Jin | - |
dc.contributor.author | Park, Kyung-Ae | - |
dc.contributor.author | Foucher, Pierre-Yves | - |
dc.contributor.author | Deliot, Philippe | - |
dc.contributor.author | Le Floch, Stephane | - |
dc.contributor.author | Kim, Tae-Sung | - |
dc.contributor.author | Oh, Sangwoo | - |
dc.contributor.author | Lee, Moonjin | - |
dc.date.accessioned | 2022-10-18T00:35:06Z | - |
dc.date.available | 2022-10-18T00:35:06Z | - |
dc.date.created | 2022-10-12 | - |
dc.date.issued | 2020-09 | - |
dc.identifier.citation | IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, pp.2165-2168 | - |
dc.identifier.issn | 2153-6996 | - |
dc.identifier.uri | https://hdl.handle.net/10371/186411 | - |
dc.description.abstract | Hazardous Noxious Substance (HNS) is transported entirely through large vessels, so there is always a potential risk of marine HNS spills. In the event of an HNS accident, it can cause enormous human and property damage, so prompt detection is required. However, there is a limit to human access by ship, we need to use remote sensing data. In this study, ground experiments using hyperspectral cameras were performed to construct a spectral library of HNS. We classified the HNS and non-HNS by applying the hyperspectral mixture algorithm, and presented the HNS detection probability for every pixel by calculating the spectrum-based abundance fraction. The results of this study are expected to be used to estimate the extent of HNS spill in the event of a marine HNS accident. | - |
dc.language | 영어 | - |
dc.publisher | IEEE | - |
dc.title | HAZARDOUS NOXIOUS SUBSTANCE DETECTION BASED ON HYPERSPECTRAL REMOTE SENSING TECHNIQUE | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/IGARSS39084.2020.9324029 | - |
dc.citation.journaltitle | IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | - |
dc.identifier.wosid | 000664335302053 | - |
dc.identifier.scopusid | 2-s2.0-85102014832 | - |
dc.citation.endpage | 2168 | - |
dc.citation.startpage | 2165 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Park, Kyung-Ae | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
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