Benefits of signal-dependent noise reduction for spectral analysis of data from advanced imaging spectrometers

Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

Volumn , Issue , 2011, Pages

  Aiazzi, B ^a   Alparone, L ^b   Baronti, S ^a   Butera, F ^c   Chiarantini, L ^c   Selva, M ^a  

^a IFAC CNR   (Italy)

^b UNIVERSITY OF FLORENCE   (Italy)

^c Selex Galileo SpA   (Italy)

Author keywords

Hyperspectral imaging; maximum noise fraction transformation; noise estimation; noise reduction; signal dependent noise

Indexed keywords

HYPERSPECTRAL IMAGING; MAXIMUM NOISE FRACTION; NOISE ESTIMATION; NOISE REDUCTIONS; SIGNAL DEPENDENT NOISE;

ACOUSTIC NOISE MEASUREMENT; ATMOSPHERICS; CALIBRATION; COVARIANCE MATRIX; ESTIMATION; INSTRUMENT PANELS; LINEAR TRANSFORMATIONS; REMOTE SENSING; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; SPECTROMETERS; SPECTROMETRY; SPECTRUM ANALYSIS;

METADATA;

EID: 84255167254     PISSN: 21586276     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2011.6080866     Document Type: Conference Paper

References (4)

1. B. Aiazzi, L. Alparone, A. Barducci, S. Baronti, P. Marcoionni, I. Pippi, and M. Selva, "Noise modelling and estimation of hyperspectral data from airborne imaging spectrometers," Annals of Geophysics, vol. 49, no. 1, pp. 1-9, Feb. 2006.
2. F. Argenti, G. Torricelli, and L. Alparone, "MMSE filtering of generalised signal-dependent noise in spatial and shift-invariant wavelet domains," Signal Processing, vol. 86, no. 8, pp. 2056-2066, Aug. 2006.
3. A. K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, Engl. Cliffs, NJ, 1989.
4. J. W. Boardman and F. A. Kruse, "Automated spectral analysis: a geological example using AVIRIS data, North Grapevine Mountains, Nevada," in Procs. ERIM Tenth Thematic Conference on Geologic Remote Sensing, 1994, vol. I, pp. 407-418.