Optimizing Hyperspectral Image Classification Through Swin Transformer Integration and CNN Feature Extraction

Sushil Kumar Janardan, Rekh Ram Janghel

Open source

DOI
10.1007/978-3-031-69986-3_29
Published
2024
Container
IFIP Advances in Information and Communication Technology
Publisher
Springer Nature Switzerland
Open access
unknown

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BibTeX

@article{allodium:10.1007/978-3-031-69986-3_29,
  title = {Optimizing Hyperspectral Image Classification Through Swin Transformer Integration and CNN Feature Extraction},
  author = {Sushil Kumar Janardan and Rekh Ram Janghel},
  year = {2024},
  journal = {IFIP Advances in Information and Communication Technology},
  doi = {10.1007/978-3-031-69986-3_29},
  url = {https://doi.org/10.1007/978-3-031-69986-3_29}
}

RIS

TY  - JOUR
TI  - Optimizing Hyperspectral Image Classification Through Swin Transformer Integration and CNN Feature Extraction
AU  - Sushil Kumar Janardan
AU  - Rekh Ram Janghel
PY  - 2024
JO  - IFIP Advances in Information and Communication Technology
DO  - 10.1007/978-3-031-69986-3_29
UR  - https://doi.org/10.1007/978-3-031-69986-3_29
ER  - 

APA

Janardan, S. K., & Janghel, R. R. (2024). Optimizing Hyperspectral Image Classification Through Swin Transformer Integration and CNN Feature Extraction. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-031-69986-3_29

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