Eigenvalues and Eigenvectors
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-85040-1_98
Reference9 articles.
1. Addabbo P, Biondi F, Clemente C, Orlando D, Pallotta L (2019) Classification of covariance matrix eigenvalues in polarimetric SAR for environmental monitoring applications. IEEE Aerosp Electron Syst Mag 34(6):28–43. https://doi.org/10.1109/MAES.2019.2905924
2. Demšar U, Harris P, Brunsdon C, Fotheringham AS, McLoone S (2013) Principal component analysis on spatial data: an overview. Ann Assoc Am Geogr 103(1):106–128
3. Estornell J, Martí-Gavilá JM, Sebastiá MT, Mengual J (2013) Principal component analysis applied to remote sensing. Model Sci Educ Learn 6:83–89
4. Fornaro G, Verde S, Reale D, Pauciullo A (2014) CAESAR: an approach based on covariance matrix decomposition to improve multibaseline–multitemporal interferometric SAR processing. IEEE Trans Geosci Remote Sens 53(4):2050–2065
5. Hawkins T (1975) Cauchy and the spectral theory of matrices. Hist Math 2(1):1–29
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