Based on the characteristics of space target components, this paper proposes a spectral in-degree distribution curvematching algorithm. Simulation experiments showed the average accuracy of the proposed algorithm is improved in comparison with the Harsanyi–Farrand–Chang and HySime algorithms. The simulation experiments were performed for a case in which the number of mixed spectral bands was reasonably small. The results showed the number of endmembers could be estimated accurately when the number of endmembers was three to eight. The algorithm proposed in this paper is suitable for estimating the number of endmembers of a space target.
Similar content being viewed by others
References
R. Heylen and P. Scheunders, IEEE J.Select. Top. Appl. Earth Observ. Rem. Sens., 6, No. 2, 570–579 (2013).
E. Levina and P. J. Bickel, Int. Conf. Neural Inform. Proc. Systems, MIT Press, pp. 777–784 (2004).
I. Chein Chang, IEEE J. Select. Top. Appl. Earth Observ. Remote Sens., 11, No. 4, 1285–1305 (2018).
S. Devika and S. M. K. Chaitanya, IEEE Int Conf. Res. Adv. Integrated Navigation Systems (2016).
J. M. Keller, M. R. Gray, and J. A. Givens, IEEE Trans. Syst., Man. Cybern., SMC-15(4), pp. 580–585 (2012).
M. E. Newman, S. H. Strogatz, and D. J. Watts, Phys. Rev. Statist. Nonlinear Soft Matter Phys., 64, No. 2, 026118 (2001).
O. Gaci and S. Balev, IEEE Int. Conf. Bioinform. Biomed. Workshop, pp. 107–112 (2009).
A. Robin, K. Cawse-Nicholson, A. Mahmood, and M. Sears, IEEE J. Select. Top. Appl. Earth Observ. Remote Sens., 8, No. 6, 2854–2861 (2015).
Nelson Antunes, Shankar Bhamidi, Tianjian Guo, Vladas Pipiras, and Bang Wang, Sampling-Based Estimation of In-degree Distribution with Applications to Directed Complex Networks, 40, No. 5, 501–505 (2018).
Wanjun Liu, Xiuhong Yang, Haicheng Qu, and Yu Meng, J. Comput. Appl., 35, No. 3, 844–848 (2015).
Q. Li and C. Niu, J. Appl. Remote Sens., 9, No. 1, 096008 (2015).
Author information
Authors and Affiliations
Corresponding author
Additional information
Abstract of article is published in Zhurnal Prikladnoi Spektroskopii, Vol. 87, No. 2, p. 350, March–April, 2020.
Rights and permissions
About this article
Cite this article
Li, Q., Wang, Q. & Shi, S. Method for Estimating the Number of Mixed Spectral Endmembers Based on Feature-Enhanced Spatial Spectral Matching Algorithm. J Appl Spectrosc 87, 393–399 (2020). https://doi.org/10.1007/s10812-020-01012-3
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10812-020-01012-3