Hyperspectral Remote Sensing Images Unmixing Based on Sparse Concept Coding
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-70665-4_89
Reference10 articles.
1. Keshava, N., Mustard, J.F.: Spectral unmixing. IEEE Sig. Process. Mag. 19(1), 44–57 (2002)
2. Qian, Y., Jia, S., Zhou, J., et al.: Hyperspectral unmixing via L1/2 sparsity-constrained nonnegative matrix factorization. IEEE Trans. Geosci. Remote Sens. 49(11), 4282–4297 (2011)
3. Rajabi, R., Khodadadzadeh, M., Ghassemian, H.: Graph regularized nonnegative matrix factorization for hyperspectral data unmixing. In: 7th Iranian Conference on Machine Vision and Image Processing, Tehran, pp. 1–4 (2011)
4. Cai, D., Bao, H.J., He, X.F.: Sparse concept coding for visual analysis. In: IEEE Conference on Computer Vision and Pattern Recognition, RI, USA, pp. 2905–2910 (2011)
5. Rajabi, R., Ghassemian, H.: Spectral unmixing of hyperspectral imagery using multilayer NMF. IEEE Geosci. Remote Sens. Lett. 12(1), 38–42 (2015)
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