Coastal Activity Risk Assessment using Aviation Images and Hyperspectral Images
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 전호군 | - |
dc.contributor.author | 양찬수 | - |
dc.date.accessioned | 2020-07-15T06:34:41Z | - |
dc.date.available | 2020-07-15T06:34:41Z | - |
dc.date.created | 2020-02-11 | - |
dc.date.issued | 2019-10-31 | - |
dc.identifier.uri | https://sciwatch.kiost.ac.kr/handle/2020.kiost/22068 | - |
dc.description.abstract | Coastal activities cause an increasing number of human casualties. This study purpose of assessing coastal activity risk by selecting and quantifying physical elements using remote sensing data such as aviation- and hyperspectral images. For tidal flat and breakwater, aviation images were used to categorize sediments and calculate the hole between tetrapods, respectively. For breakwater and seashore rocks, hyperspectral images were used to compute the ratio of moss. | - |
dc.description.uri | 1 | - |
dc.language | English | - |
dc.publisher | IEICE | - |
dc.relation.isPartOf | ICSANE 2019 | - |
dc.title | Coastal Activity Risk Assessment using Aviation Images and Hyperspectral Images | - |
dc.type | Conference | - |
dc.citation.conferencePlace | JA | - |
dc.citation.endPage | 32 | - |
dc.citation.startPage | 29 | - |
dc.citation.title | ICSANE 2019 | - |
dc.contributor.alternativeName | 전호군 | - |
dc.contributor.alternativeName | 양찬수 | - |
dc.identifier.bibliographicCitation | ICSANE 2019, pp.29 - 32 | - |
dc.description.journalClass | 1 | - |