Segmented-Incremental-PCA for Hyperspectral Image Classification
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-34622-4_44
Reference25 articles.
1. Hossain, M.A., Jia, X., Pickering, M.: Subspace detection using a mutual information measure for hyperspectral image classification. IEEE Geosci. Remote Sens. Lett. 11(2), 424–428 (2013)
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3. Uddin, M.P., Mamun, M.A., Hossain, M.A.: Effective feature extraction through segmentation-based folded-PCA for hyperspectral image classification. Int. J. Remote Sens. 40(18), 7190–7220 (2019)
4. Hossain, M.A., Jia, X., Benediktsson, J.A.: One-class oriented feature selection and classification of heterogeneous remote sensing images. IEEE J. Sel. Topics Appl. Earth Observations Remote Sens. 9(4), 1606–1612 (2016)
5. Uddin, M., Mamun, M., Hossain, M.: Feature extraction for hyperspectral image classification. In: 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), pp. 379–382. IEEE (2017)
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