dc.contributor.author | Vlaminck, Michiel | |
dc.contributor.author | Heidbuchel, Rugen | |
dc.contributor.author | Philips, Wilfried | |
dc.contributor.author | Luong, Hiep | |
dc.date.accessioned | 2023-05-04T13:19:28Z | |
dc.date.available | 2023-05-04T13:19:28Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.other | WOS:000754586200001 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/41560 | |
dc.source | WOS | |
dc.title | Region-Based CNN for Anomaly Detection in PV Power Plants Using Aerial Imagery | |
dc.type | Journal article | |
dc.contributor.imecauthor | Vlaminck, Michiel | |
dc.contributor.imecauthor | Philips, Wilfried | |
dc.contributor.imecauthor | Luong, Hiep | |
dc.contributor.orcidext | Vlaminck, Michiel::0000-0003-3986-823X | |
dc.contributor.orcidimec | Vlaminck, Michiel::0000-0003-3986-823X | |
dc.contributor.orcidimec | Philips, Wilfried::0000-0003-4456-4353 | |
dc.contributor.orcidimec | Luong, Hiep::0000-0002-6246-5538 | |
dc.date.embargo | 2022-02-07 | |
dc.identifier.doi | 10.3390/s22031244 | |
dc.source.numberofpages | 18 | |
dc.source.peerreview | yes | |
dc.source.beginpage | Art. 1244 | |
dc.source.endpage | na | |
dc.source.journal | SENSORS | |
dc.identifier.pmid | MEDLINE:35161990 | |
dc.source.issue | 3 | |
dc.source.volume | 22 | |
imec.availability | Published - open access | |
dc.description.wosFundingText | This research has been funded by imec through the imec.icon project Analyst-PV, co-funded by Flanders Innovation & Entrepreneurship project nr. HBC.2019.0050 and the COMP4DRONES ECSEL Joint Undertaking (JU) under grant agreement No 826610. | |