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 -
Appears in Collections:
Sea Power Enhancement Research Division > Marine Domain & Security Research Department > 2. Conference Papers
Marine Digital Resources Department > Marine Bigdata & A.I. Center > 2. Conference Papers
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