Aerial hyperspectral remote sensing detection for maritime search and surveillance of floating small objects
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Jae-Jin | - |
dc.contributor.author | Park, Kyung-Ae | - |
dc.contributor.author | Kim, Tae-Sung | - |
dc.contributor.author | Oh, Sangwoo | - |
dc.contributor.author | Lee, Moonjin | - |
dc.date.accessioned | 2023-12-22T10:30:36Z | - |
dc.date.available | 2023-12-22T10:30:36Z | - |
dc.date.issued | 2023-09 | - |
dc.identifier.issn | 0273-1177 | - |
dc.identifier.issn | 1879-1948 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/9674 | - |
dc.description.abstract | Over the past decades, maritime accidents have been increasing due to the rise in maritime transportation and ship traffic. While detecting accident-prone vessels is crucial, it is equally important to identify individuals in distress and small floating objects. Real -time monitoring and wide-area high-resolution observations enabled by aerial remote sensing have proven effective in maritime detec-tion. In this study, we developed a technology for detecting small objects by conducting two aerial experiments targeting various objects, including ships, mannequins (human-shaped objects), and maritime safety equipment floating in coastal areas, thereby acquiring hyper-spectral image data. By utilizing the hyperspectral data, we detected the pixels corresponding to the edges of ships and employed an ellipse fitting approach to identify the vessels, achieving a length error of 0.44 m. Additionally, we detected small floating objects based on a spectral database using spectral matching. The N-finder algorithm (N-FINDR) spectral unmixing technique was applied to detect lifebuoys, buoyant apparatus, and mannequins, resulting in relatively small length errors ranging from 0.08 to 0.17 m. As satellite hyper-spectral sensors continue to advance significantly, it is expected that this study will contribute to future research in the field of detecting small objects and maritime surveillance. & COPY; 2023 COSPAR. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/ by-nc-nd/4.0/). | - |
dc.format.extent | 19 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.title | Aerial hyperspectral remote sensing detection for maritime search and surveillance of floating small objects | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1016/j.asr.2023.06.055 | - |
dc.identifier.scopusid | 2-s2.0-85165191261 | - |
dc.identifier.wosid | 001051203900001 | - |
dc.identifier.bibliographicCitation | ADVANCES IN SPACE RESEARCH, v.72, no.6, pp 2118 - 2136 | - |
dc.citation.title | ADVANCES IN SPACE RESEARCH | - |
dc.citation.volume | 72 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 2118 | - |
dc.citation.endPage | 2136 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Astronomy & Astrophysics | - |
dc.relation.journalResearchArea | Geology | - |
dc.relation.journalResearchArea | Meteorology & Atmospheric Sciences | - |
dc.relation.journalWebOfScienceCategory | Engineering, Aerospace | - |
dc.relation.journalWebOfScienceCategory | Astronomy & Astrophysics | - |
dc.relation.journalWebOfScienceCategory | Geosciences, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Meteorology & Atmospheric Sciences | - |
dc.subject.keywordPlus | ENDMEMBER VARIABILITY | - |
dc.subject.keywordPlus | DIMENSION REDUCTION | - |
dc.subject.keywordPlus | EO-1 HYPERION | - |
dc.subject.keywordPlus | CLASSIFICATION | - |
dc.subject.keywordPlus | EXTRACTION | - |
dc.subject.keywordPlus | SIMPLEX | - |
dc.subject.keywordPlus | SHAPE | - |
dc.subject.keywordPlus | SPECTRAL MIXTURE ANALYSIS | - |
dc.subject.keywordPlus | SHIP DETECTION | - |
dc.subject.keywordAuthor | Hyperspectral | - |
dc.subject.keywordAuthor | Small object | - |
dc.subject.keywordAuthor | N-FINDR | - |
dc.subject.keywordAuthor | Maritime search | - |
dc.subject.keywordAuthor | Ship | - |
dc.subject.keywordAuthor | Ellipse | - |
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