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Semisupervised Image Classification With Laplacian Support Vector Machines
Abstract
This letter presents a semisupervised method based on kernel machines and graph theory for remote sensing image classification. The support vector machine (SVM) is regularized with the unnormalized graph Laplacian, thus leading to the Laplacian SVM (LapSVM). The method is tested in the challenging problems of urban monitoring and cloud screening, in which an adequate exploitation of the wealth of unlabeled samples is critical. Results obtained using different sensors, and with low number of training samples, demonstrate the potential of the proposed LapSVM for remote sensing image classification.
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Cited by
Support vector machines in remote sensing: a review
Mountrakis, G., Im, J., & Ogole, C. (2011) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2010.11.001 · Cited by 3,473
Land-cover classification with high-resolution remote sensing images using transferable deep models
Tong, X.-Y., Xia, G.-S., Lu, Q., Shen, H., Li, S., You, S., & Zhang, L. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111322 · Cited by 978
Deep learning based feature selection for remote sensing scene classification
Zou, Q., Ni, L., Zhang, T., & Wang, Q. (2015) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2015.2475299 · Cited by 956
Domain adaptation for the classification of remote sensing data: An overview of recent advances
Tuia, D., Persello, C., & Bruzzone, L. (2016) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2016.2548504 · Cited by 675
Metadata
- Authors
- Gomez-Chova, L., Camps-Valls, G., Munoz-Mari, J., & Calpe, J.
- Venue
- IEEE Geoscience and Remote Sensing Letters
- Published
- 2008-07
- Volume
- 5
- Issue
- 3
- Pages
- 336-340
- ISSN
- 1545-598X (ISSN-L)
- 1558-0571
- OpenAlex
- W2169042894
- Cited by
- 257
- References
- 0
- FWCI
- 32.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gomez-Chova, L., Camps-Valls, G., Munoz-Mari, J., & Calpe, J. (2008). Semisupervised Image Classification With Laplacian Support Vector Machines. IEEE Geoscience and Remote Sensing Letters. https://doi.org/10.1109/lgrs.2008.916070
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