Sub-pixel spectral clustering model of quantum mechanism effect for hyperspectral images
Author:
Funder
National Natural Science Foundation of China
Advance Research Program
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
http://link.springer.com/content/pdf/10.1007/s12517-020-5147-9.pdf
Reference27 articles.
1. Akhtar N, Shafait F, Mian A (2014) Futuristic greedy approach to sparse unmixing of hyperspectral data. IEEE Trans Geosci Remote Sens 53(4):2157–2174
2. Bauer S, Stefan J, Michelsburg M, Laengle T, León FP (2014) Robustness improvement of hyperspectral image unmixing by spatial second-order regularization. IEEE Trans Image Process 23(12):5209–5221
3. Bie R, Mehmood R, Ruan S et al (2016) Adaptive fuzzy clustering by fast search and find of density peaks. Pers Ubiquit Comput 20(5):785–793
4. Bieniarz J, Aguilera E, Zhu XX, Muller R, Reinartz P (2015) Joint sparsity model for multilook hyperspectral image unmixing. IEEE Geosci Remote Sens Lett 12(4):696–700
5. Bioucas-Dias JM, Plaza A, Dobigeon N et al (2012) Hyperspectral unmixing overview: geometrical, statistical, and sparse regression-based approaches. IEEE J Sel Top Appl Earth Obs Remote Sens 5(2):354–379
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