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Composite Kernels for Hyperspectral Image Classification
Abstract
This letter presents a framework of composite kernel machines for enhanced classification of hyperspectral images. This novel method exploits the properties of Mercer's kernels to construct a family of composite kernels that easily combine spatial and spectral information. This framework of composite kernels demonstrates: 1) enhanced classification accuracy as compared to traditional approaches that take into account the spectral information only: 2) flexibility to balance between the spatial and spectral information in the classifier; and 3) computational efficiency. In addition, the proposed family of kernel classifiers opens a wide field for future developments in which spatial and spectral information can be easily integrated.
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Cover, T. M. (1965) · IEEE Transactions on Electronic Computers · doi:10.1109/pgec.1965.264137 · Cited by 2,044
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Hyperspectral remote sensing data analysis and future challenges
Bioucas-Dias, J. M., Plaza, A., Camps-Valls, G., Scheunders, P., Nasrabadi, N., & Chanussot, J. (2013) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2013.2244672 · Cited by 2,223
Self-citationDeep Learning for Hyperspectral Image Classification: An Overview
Li, S., Song, W., Fang, L., Chen, Y., Ghamisi, P., & Benediktsson, J. A. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2019.2907932 · Cited by 2,007
HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification
Roy, S. K., Krishna, G., Dubey, S. R., & Chaudhuri, B. B. (2020) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2019.2918719 · Cited by 1,898
Hyperspectral Image Classification Using Dictionary-Based Sparse Representation
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Metadata
- Authors
- Camps-Valls, G., Gomez-Chova, L., Munoz-Mari, J., Vila-Frances, J., & Calpe-Maravilla, J.
- Venue
- IEEE Geoscience and Remote Sensing Letters
- Published
- 2006-01
- Volume
- 3
- Issue
- 1
- Pages
- 93-97
- ISSN
- 1545-598X (ISSN-L)
- OpenAlex
- W2164330327
- Cited by
- 1,068
- References
- 1
- FWCI
- 71.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- Camps-Valls, G., Gomez-Chova, L., Munoz-Mari, J., Vila-Frances, J., & Calpe-Maravilla, J. (2006). Composite Kernels for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. https://doi.org/10.1109/lgrs.2005.857031
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