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Kong, Yi, Yu, Shaocai, Cheng, Yuhu, Philip Chen, C. L., Wang, Xuesong (2025) Joint Classification of Hyperspectral Images and LiDAR Data Based on Candidate Pseudo Labels Pruning and Dual Mixture of Experts. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3543498

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Reference TypeJournal (article/letter/editorial)
TitleJoint Classification of Hyperspectral Images and LiDAR Data Based on Candidate Pseudo Labels Pruning and Dual Mixture of Experts
JournalIEEE Transactions on Geoscience and Remote Sensing
AuthorsKong, YiAuthor
Yu, ShaocaiAuthor
Cheng, YuhuAuthor
Philip Chen, C. L.Author
Wang, XuesongAuthor
Year2025Volume63
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
DOIdoi:10.1109/tgrs.2025.3543498Search in ResearchGate
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Mindat Ref. ID18173651Long-form Identifiermindat:1:5:18173651:8
GUID0
Full ReferenceKong, Yi, Yu, Shaocai, Cheng, Yuhu, Philip Chen, C. L., Wang, Xuesong (2025) Joint Classification of Hyperspectral Images and LiDAR Data Based on Candidate Pseudo Labels Pruning and Dual Mixture of Experts. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3543498
Plain TextKong, Yi, Yu, Shaocai, Cheng, Yuhu, Philip Chen, C. L., Wang, Xuesong (2025) Joint Classification of Hyperspectral Images and LiDAR Data Based on Candidate Pseudo Labels Pruning and Dual Mixture of Experts. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2025.3543498
In(2025) IEEE Transactions on Geoscience and Remote Sensing Vol. 63. Institute of Electrical and Electronics Engineers (IEEE)

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Chakraborty (2021) arXiv:2104.00341 SpectralNET: Exploring spatial–spectral WaveletCNN for hyperspectral image classification
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