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Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion
Abstract
Coupled nonnegative matrix factorization (CNMF) unmixing is proposed for the fusion of low-spatial-resolution hyperspectral and high-spatial-resolution multispectral data to produce fused data with high spatial and spectral resolutions. Both hyperspectral and multispectral data are alternately unmixed into end member and abundance matrices by the CNMF algorithm based on a linear spectral mixture model. Sensor observation models that relate the two data are built into the initialization matrix of each NMF unmixing procedure. This algorithm is physically straightforward and easy to implement owing to its simple update rules. Simulations with various image data sets demonstrate that the CNMF algorithm can produce high-quality fused data both in terms of spatial and spectral domains, which contributes to the accurate identification and classification of materials observed at a high spatial resolution.
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Cited by
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
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects
Lahat, D., Adali, T., & Jutten, C. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2460697 · Cited by 1,296
Ghamisi, P., Yokoya, N., Li, J., Liao, W., Liu, S., Plaza, J., Rasti, B., & Plaza, A. (2017) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2017.2762087 · Cited by 909
Self-citationHyperspectral Image Superresolution by Transfer Learning
Yuan, Y., Zheng, X., & Lu, X. (2017) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2017.2655112 · Cited by 267
Metadata
- Authors
- Yokoya, N., Yairi, T., & Iwasaki, A.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2012-02
- Volume
- 50
- Issue
- 2
- Pages
- 528-537
- ISSN
- 0196-2892 (ISSN-L)
- 1558-0644
- OpenAlex
- W1990231296
- Cited by
- 1,180
- References
- 0
- FWCI
- 34.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yokoya, N., Yairi, T., & Iwasaki, A. (2012). Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/tgrs.2011.2161320
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