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Tian, Qu, He, Chengxun, Xu, Yang, Wu, Zebin, Wei, Zhihui (2024) Hyperspectral Target Detection: Learning Faithful Background Representations via Orthogonal Subspace-Guided Variational Autoencoder. IEEE Transactions on Geoscience and Remote Sensing, 62. 1-14 doi:10.1109/tgrs.2024.3393931

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Reference TypeJournal (article/letter/editorial)
TitleHyperspectral Target Detection: Learning Faithful Background Representations via Orthogonal Subspace-Guided Variational Autoencoder
JournalIEEE Transactions on Geoscience and Remote Sensing
AuthorsTian, QuAuthor
He, ChengxunAuthor
Xu, YangAuthor
Wu, ZebinAuthor
Wei, ZhihuiAuthor
Year2024Volume62
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
DOIdoi:10.1109/tgrs.2024.3393931Search in ResearchGate
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Mindat Ref. ID17384064Long-form Identifiermindat:1:5:17384064:3
GUID0
Full ReferenceTian, Qu, He, Chengxun, Xu, Yang, Wu, Zebin, Wei, Zhihui (2024) Hyperspectral Target Detection: Learning Faithful Background Representations via Orthogonal Subspace-Guided Variational Autoencoder. IEEE Transactions on Geoscience and Remote Sensing, 62. 1-14 doi:10.1109/tgrs.2024.3393931
Plain TextTian, Qu, He, Chengxun, Xu, Yang, Wu, Zebin, Wei, Zhihui (2024) Hyperspectral Target Detection: Learning Faithful Background Representations via Orthogonal Subspace-Guided Variational Autoencoder. IEEE Transactions on Geoscience and Remote Sensing, 62. 1-14 doi:10.1109/tgrs.2024.3393931
In(2024) IEEE Transactions on Geoscience and Remote Sensing Vol. 62. Institute of Electrical and Electronics Engineers (IEEE)

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