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Xing, Changda, Wang, Meiling, Wang, Xuesong, Cheng, Yuhu (2025) TDAE: Tensored Deep Autoencoder for Classification of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2024.3519092

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Reference TypeJournal (article/letter/editorial)
TitleTDAE: Tensored Deep Autoencoder for Classification of Hyperspectral Images
JournalIEEE Transactions on Geoscience and Remote Sensing
AuthorsXing, ChangdaAuthor
Wang, MeilingAuthor
Wang, XuesongAuthor
Cheng, YuhuAuthor
Year2025Volume63
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
DOIdoi:10.1109/tgrs.2024.3519092Search in ResearchGate
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Mindat Ref. ID17851213Long-form Identifiermindat:1:5:17851213:2
GUID0
Full ReferenceXing, Changda, Wang, Meiling, Wang, Xuesong, Cheng, Yuhu (2025) TDAE: Tensored Deep Autoencoder for Classification of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2024.3519092
Plain TextXing, Changda, Wang, Meiling, Wang, Xuesong, Cheng, Yuhu (2025) TDAE: Tensored Deep Autoencoder for Classification of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2024.3519092
In(2025) IEEE Transactions on Geoscience and Remote Sensing Vol. 63. Institute of Electrical and Electronics Engineers (IEEE)

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Jaderberg () Proc. Adv. Neural Inf. Process. Syst. (NIPS) Spatial transformer networks 28, 2017
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