Determination of optimal wavelet denoising parameters for red edge feature extraction from hyperspectral data

Journal of Applied Remote Sensing

Volumn 3, Issue 1, 2009, Pages

  Shafri, Helmi Z M ^a   Yusof, Mohd R M ^a  

^a UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

signal processing; spectroscopy; wavelet transforms; wavelets

Indexed keywords

PALM OIL; REFLECTION; SIGNAL PROCESSING; SPECTROSCOPY; WAVELET TRANSFORMS; WHITE NOISE;

GAUSSIAN WHITE NOISE; HAND-HELD SPECTRORADIOMETERS; HYPERSPECTRAL REFLECTANCE; HYPERSPECTRAL SENSING; SIMULATION STUDIES; SYNTHETIC DATASETS; WAVELET PARAMETERS; WAVELETS;

DISCRETE WAVELET TRANSFORMS;

EID: 77957313631     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.3155804     Document Type: Article

References (20)

1. T. P. Dawson and P. J. Curran, "A new technique for interpolating the reflectance red edge position," Int. J. Rem. Sens. 19, 2133-2139 (1998) 10.1080/014311698214910
2. H. Z. M. Shafri, M. A. M. Salleh, and A. Ghiyamat, "Hyperspectral remote sensing of vegetation using red edge position techniques," Am. J. Appl. Sci. 3, 1864-1871 (2006).
3. M. A. Cho and A. K. Skidmore, "A new technique for extracting the red edge position from hyperspectral data: the linear extrapolation method," Rem. Sens. Environ. 101, 181-193 (2005) 10.1016/j.rse.2005.12.011
4. F. Baret, I. Champion, G. Guyot, and A. Podaire, "Monitoring wheat canopies with a high spectral resolution radiometer," Rem. Sens. Environ. 22, 367-378 (1987) 10.1016/0034-4257(87)90089-90097 (Pubitemid 17633784)
5. G. Bonham-Carter, "Numerical procedures and computer program for fitting an inverted Gaussian model to vegetation reflectance data," Comput. Geosci. 14, 339-356 (1988) 10.1016/0098-3004(88)90065-90069 (Pubitemid 18651740)
6. T. H. Demetriades-Shah, M. D. Steven, and A. C. Clark, "High resolution derivative spectra in remote sensing," Rem. Sens. Environ. 33, 55-64 (1990) 10.1016/0034-4257(90)90055-Q
7. G. V. G. Baranoski and J. G. Rokne, "A practical approach for estimating the red edge position of plant leaf reflectance," Int. J. Rem. Sens. 26, 503-521 (2005) 10.1080/01431160512331314029 (Pubitemid 40263025)
8. H. Othman and S. Qian, "An evaluation of wavelet-denoised hyperspectral data for remote sensing," Can. J. Rem. Sens. 34, Suppl. 1, S59-S67 (2008).
9. F. Tsai and W. Philpot, "Derivative analysis of hyperspectral data," Rem. Sens. Environ. 66, 41-51 (1998) 10.1016/S0034-4257(98)00032-37 (Pubitemid 29360427)
10. J. W. Campbell and W. E. Esaias, "Basis for spectral curvature algorithms in remote sensing of chlorophyll," Appl. Opt. 22, 1084-1093 (1983) 10.1364/AO.22.001084
11. P. Gong, R. Pu, and B. Yu, "Conifer species recognition: An exploratory analysis of in situ hyperspectral data," Rem. Sens. Environ. 62, 189-200 (1997) 10.1016/S0034-4257(97)00094-101 (Pubitemid 28091206)
12. C. Ruffin, R. L. King, and N. H. Younan, "A combined derivative spectroscopy and Savitzky-Golay filtering method for the analysis of hyperspectral data," GI Sci. Rem. Sens. 45, 1-15 (2008) 10.2747/1548-1603.45.1.1
13. Apogee Instruments Inc., "Quantum efficiency," September 2008, http://www.ccd.com (24 March 2009).
14. R. D. Nowak and R. G. Baraniuk, "Wavelet domain filtering for photon imaging systems," IEEE Trans. Image Process. 5, 666-678 (1999) 10.1109/83.760334
15. D. L. Donoho and I. M. Johnstone, "Ideal denoising in an orthonormal basis chosen from a library of bases," Technical Report 461, Dept. of Statistics, Stanford University (1994).
16. K. S. Schmidt and A. K. Skidmore, "Smoothing vegetation spectra with wavelets," Int. J. Rem. Sens. 25, 1167-1184 (2004) 10.1080/ 0143116031000115085
17. S. Mallat, A Wavelet Tour of Signal Processing, Academic Press, San Diego (1998).
18. B. N. Singh and A. K. Tiwari, "Optimal selection of wavelet basis function applied to ECG signal denoising," Digital Signal Process. 16, 275-287 (2006) 10.1016/j.ds2005.12.003
19. D. L. Donoho, "Denoising by soft thresholding," IEEE Trans. Info. Theory 41, 613-627 (1995) 10.1109/18.382009
20. G. W. Horgan, "Using wavelets for data smoothing: A simulation study," J. Appl. Stat. 26, 923-932 (1999) 10.1080/02664769921936 (Pubitemid 30079335)