Publication:
Adaptive Clustering for Efficient Phenotype Segmentation of UAV Hyperspectral Data
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.orcid | 0000-0003-3792-5026 | |
| cris.virtual.orcid | 0000-0002-9569-9373 | |
| cris.virtual.orcid | 0009-0003-0149-6722 | |
| cris.virtualsource.department | 7db3840f-300f-4cd3-9f87-715eac1a46ae | |
| cris.virtualsource.department | 1a726932-beb2-4302-94c5-a7ab5d05ce6c | |
| cris.virtualsource.department | 8dd6e418-3a7d-4802-bf42-6cb7da487991 | |
| cris.virtualsource.orcid | 7db3840f-300f-4cd3-9f87-715eac1a46ae | |
| cris.virtualsource.orcid | 1a726932-beb2-4302-94c5-a7ab5d05ce6c | |
| cris.virtualsource.orcid | 8dd6e418-3a7d-4802-bf42-6cb7da487991 | |
| dc.contributor.author | Cornelissen, Ciem | |
| dc.contributor.author | Leroux, Sam | |
| dc.contributor.author | Simoens, Pieter | |
| dc.contributor.imecauthor | Cornelissen, Ciem | |
| dc.contributor.imecauthor | Leroux, Sam | |
| dc.contributor.imecauthor | Simoens, Pieter | |
| dc.contributor.orcidimec | Cornelissen, Ciem::0009-0003-0149-6722 | |
| dc.contributor.orcidimec | Leroux, Sam::0000-0003-3792-5026 | |
| dc.contributor.orcidimec | Simoens, Pieter::0000-0002-9569-9373 | |
| dc.date.accessioned | 2025-08-09T03:57:11Z | |
| dc.date.available | 2025-08-09T03:57:11Z | |
| dc.date.issued | 2025 | |
| dc.description.wosFundingText | This work received financial support from the Flanders AI Research Program (FAIR). A special thanks to Kimmo Riihiaho for assistance in understanding the HyperBlend code. | |
| dc.identifier.doi | 10.1109/WACVW65960.2025.00053 | |
| dc.identifier.eisbn | 979-8-3315-3662-6 | |
| dc.identifier.isbn | 979-8-3315-3663-3 | |
| dc.identifier.issn | 2572-4398 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/46036 | |
| dc.publisher | IEEE COMPUTER SOC | |
| dc.source.beginpage | 422 | |
| dc.source.conference | 2025 Winter Conference on Applications of Computer Vision Workshops-WACVW | |
| dc.source.conferencedate | 2025-02-28 | |
| dc.source.conferencelocation | Tucson | |
| dc.source.endpage | 431 | |
| dc.source.journal | 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) | |
| dc.source.numberofpages | 10 | |
| dc.subject.keywords | LEAF CHLOROPHYLL CONTENT | |
| dc.subject.keywords | LEARNING TECHNIQUES | |
| dc.subject.keywords | NITROGEN | |
| dc.title | Adaptive Clustering for Efficient Phenotype Segmentation of UAV Hyperspectral Data | |
| dc.type | Proceedings paper | |
| dspace.entity.type | Publication | |
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