CESA-MCFormer: An Efficient Transformer Network for Hyperspectral Image Classification by Eliminating Redundant Information.
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| Title: | CESA-MCFormer: An Efficient Transformer Network for Hyperspectral Image Classification by Eliminating Redundant Information. |
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| Authors: | Liu S; School of Software, Tongji University, Shanghai 201800, China., Yin C; School of Software, Tongji University, Shanghai 201800, China., Zhang H; School of Software, Tongji University, Shanghai 201800, China. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Feb 11; Vol. 24 (4). Date of Electronic Publication: 2024 Feb 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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