Dictionary learning for clustering on hyperspectral images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-020-01750-z.pdf
Reference21 articles.
1. Wang, H., Celik, T.: Sparse representation-based hyperspectral image classification. Signal Image Video Process. 12, 1009–1017 (2018)
2. Sprechmann, P., Sapiro, G.: Dictionary learning and sparse coding for unsupervised clustering. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2042–2045 (2010)
3. Feng, X.: Robust spectral clustering via sparse representation. In: Recent Applications in Data Clustering, p. 155 (2018). https://doi.org/10.5772/intechopen.76586
4. Wright, J., Ma, Y., Mairal, J., Sapiro, G., Huang, T., Yan, S.: Sparse representation for computer vision and pattern recognition. Proc. IEEE 98, 1031–1044 (2010)
5. Aharon, M., Elad, M., Bruckstein, A.: K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans. Signal Process. 54, 4311–4322 (2006)
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