Hazardous Noxious Substance Detection Based on Hyperspectral Remote Sensing Technique
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박재진 | - |
dc.contributor.author | 박경애 | - |
dc.contributor.author | Pierre-Yves Foucher | - |
dc.contributor.author | Philippe Deliot | - |
dc.contributor.author | Stephane Le Floch | - |
dc.contributor.author | 김태성 | - |
dc.contributor.author | 오상우 | - |
dc.contributor.author | 이문진 | - |
dc.date.accessioned | 2021-12-08T07:42:15Z | - |
dc.date.available | 2021-12-08T07:42:15Z | - |
dc.date.issued | 20201001 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/2340 | - |
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 HNSand 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.language.iso | ENG | - |
dc.title | Hazardous Noxious Substance Detection Based on Hyperspectral Remote Sensing Technique | - |
dc.title.alternative | Hazardous Noxious Substance Detection Based on Hyperspectral Remote Sensing Technique | - |
dc.type | Conference | - |
dc.citation.title | IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020) | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 4 | - |
dc.citation.conferenceName | IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020) | - |
dc.citation.conferencePlace | 미국 | - |
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