Automated Pipelines for Large-Scale Height-Based Vegetation Segmentation

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dc.contributor.authorTsaryniuk, Oleksandr en_US
dc.contributor.authorHlybovets, Andriy en_US
dc.contributor.authorOletsky, Oleksiy en_US
dc.date.accessioned2024-11-29T12:40:24Z
dc.date.available2024-11-29T12:40:24Z
dc.date.issued2024
dc.description.abstractHeight-based vector vegetation segmentation is one of the critical aspects of spatial analysis. This segmented data is used in radio propagation modeling, environmental monitoring, and vegetation mapping. Many studies on vector vegetation segmentation focus on delineating individual tree crowns, allowing detailed data sets to be obtained. However, the high level of detail results in a substantial data volume, making it impractical to use these datasets over large areas, such as an entire country. Segmentation of large vector data sets remains a significant challenge in geospatial data creation. In our study, we developed three different segmentation pipelines: hexagon segmentation, convolution segmentation, and random points. A test data fragment was processed to compare the proposed methods and accuracy and volume metrics were calculated. en_US
dc.identifier.citationTsaryniuk O. Automated Pipelines for Large-Scale Height-Based Vegetation Segmentation / Oleksandr Tsaryniuk, Andriy Hlybovets, Oleksiy Oletsky // 14th International Scientific and Practical Conference from Programming UkrPROG’2024, May 14-15, 2024, Kyiv, Ukraine. - Kyiv, 2024. - P. 351-360. en_US
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/32643
dc.language.isoen en_US
dc.relation.source14th International Scientific and Practical Conference from Programming UkrPROG’2024, May 14-15, 2024, Kyiv, Ukraine en_US
dc.statusfirst published en_US
dc.subjectvegetation segmentation en_US
dc.subjectspatial analysis en_US
dc.subjecthexagonal grid en_US
dc.subjectrandom points en_US
dc.subjectconvolution filters en_US
dc.subjectconference materials en_US
dc.titleAutomated Pipelines for Large-Scale Height-Based Vegetation Segmentation en_US
dc.typeConference materials en_US
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