Penalized Linear Discriminant Analysis of Hyperspectral Imagery for Noise Removal

IEEE Geoscience and Remote Sensing Letters

Volumn 14, Issue 3, 2017, Pages 359-363

  Lu, Ming ^a,b,c   Hu, Luojia ^c   Yue, Tianxiang ^a   Chen, Ziyue ^c   Chen, Bin ^c   Lu, Xiaoqiang ^d   Xu, Bing ^c,e  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c BEIJING NORMAL UNIVERSITY   (China)

^d XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

^e TSINGHUA UNIVERSITY   (China)

Author keywords

Hyperspectral imagery (HSI); noise removal; penalized linear discriminant analysis (PLDA); principal components transformation

Indexed keywords

DISCRIMINANT ANALYSIS; LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS; NOISE ABATEMENT; SPECTROSCOPY;

HYPER-SPECTRAL IMAGERIES; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL INFORMATION; LINEAR DISCRIMINANT ANALYSIS; PRINCIPAL COMPONENTS TRANSFORMATIONS; QUANTITATIVE MATRICES; RELATIVE DEVIATIONS; SPECTRAL FIDELITY;

PRINCIPAL COMPONENT ANALYSIS;

EID: 85009834018     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2016.2643001     Document Type: Article

References (13)

1. N. Acito, M. Diani, and G. Corsini, "Subspace-based striping noise reduction in hyperspectral images," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 4, pp. 1325-1342, Apr. 2011.
2. B. Chen, B. Huang, and B. Xu, "Comparison of spatiotemporal fusion models: A review," Remote Sens., vol. 7, no. 2, pp. 1798-1835, 2015.
3. A. A. Green, M. Berman, P. Switzer, and M. D. Craig, "A transformation for ordering multispectral data in terms of image quality with implications for noise removal," IEEE Trans. Geosci. Remote Sens., vol. 26, no. 1, pp. 65-74, Jan. 1988.
4. R. E. Roger, "Principal components transform with simple, automatic noise adjustment," Int. J. Remote Sens., vol. 17, pp. 2719-2727, Sep. 1996.
5. F. L. Gadallah, F. Csillag, and E. J. M. Smith, "Destriping multisensor imagery with moment matching," Int. J. Remote Sens., vol. 21, pp. 2505-2511, Aug. 2000.
6. Q. Q. Yuan, L. P. Zhang, and H. F. Shen, "Hyperspectral image denoising employing a spectral-spatial adaptive total variation model," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 10, pp. 3660-3677, Oct. 2012.
7. B. Rasti, J. R. Sveinsson, M. O. Ulfarsson, and J. A. Benediktsson, "Hyperspectral image denoising using 3D wavelets," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Jul. 2012, pp. 1349-1352.
8. X. Lu, Y. Wang, and Y. Yuan, "Graph-regularized low-rank representation for destriping of hyperspectral images," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 7, pp. 4009-4018, Jul. 2013.
9. R. Michishita, Z. B. Jiang, and B. Xu, "Monitoring two decades of urbanization in the Poyang Lake area, China through spectral unmixing," Remote Sens. Environ., vol. 117, pp. 3-18, Feb. 2012.
10. B. Xu and P. Gong, "Noise estimation in a noise-adjusted principal component transformation and hyperspectral image restoration," Can. J. Remote Sens., vol. 34, pp. 271-286, Jun. 2008.
11. B. Yu, M. Ostland, P. Gong, and R. Pu, "Penalized discriminant analysis of in situ hyperspectral data for conifer species recognition," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 5, pp. 2569-2577, Sep. 1999.
12. B. Xu and P. Gong, "Land-use/land-cover classification with multispectral and hyperspectral EO-1 data," Photogramm. Eng. Remote Sens., vol. 73, pp. 955-965, Aug. 2007.
13. B. Chen and B. Xu, "A novel method for measuring landscape heterogeneity changes," IEEE Geosci. Remote Sens. Lett., vol. 12, no. 3, pp. 567-571, Mar. 2015.