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Decker, Kevin T., Borghetti, Brett J. (2023) Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks. Applied Sciences, 13 (14) MDPI AG. 8210 doi:10.3390/app13148210

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Reference TypeJournal (article/letter/editorial)
TitleHyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks
JournalApplied Sciences
AuthorsDecker, Kevin T.Author
Borghetti, Brett J.Author
Year2023 (July 14)Volume13
Issue14
PublisherMDPI AG
DOIdoi:10.3390/app13148210Search in ResearchGate
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Mindat Ref. ID16607897Long-form Identifiermindat:1:5:16607897:8
GUID0
Full ReferenceDecker, Kevin T., Borghetti, Brett J. (2023) Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks. Applied Sciences, 13 (14) MDPI AG. 8210 doi:10.3390/app13148210
Plain TextDecker, Kevin T., Borghetti, Brett J. (2023) Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks. Applied Sciences, 13 (14) MDPI AG. 8210 doi:10.3390/app13148210
In(2023, July) Applied Sciences Vol. 13 (14) MDPI AG

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