Title :
Spectrum estimation from quantum-limited interferograms
Author :
Fuhrmann, Daniel R. ; O´Sulivan, J.A. ; Snyder, Donald L. ; Smith, William H.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., St. Louis, MO, USA
Abstract :
A quantitative model for interferogram data collected in a quantum-limited hyperspectral imaging system is derived. This model accounts for the geometry of the interferometer, the Poisson noise, and the parameterization of the mean of the noise in terms of the autocorrelation function of the incident optical signal. An estimation-theoretic approach to recovering the image spectrum is derived based on the likelihood function for the received data. The computations proposed constitute an alternating minimization algorithm
Keywords :
CCD image sensors; interferometry; noise; optical correlation; optical information processing; spectral analysis; stochastic processes; Poisson noise; alternating minimization algorithm; autocorrelation function; estimation theory; image spectrum recovery; incident optical signal; interferogram data; interferometer geometry; likelihood function; quantum-limited hyperspectral imaging system; quantum-limited interferograms; received data; spectrum estimation; Autocorrelation; Hyperspectral imaging; Hyperspectral sensors; Optical imaging; Optical interferometry; Optical noise; Optical sensors; Optical signal processing; Spectral analysis; Spectroscopy;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-6339-6
DOI :
10.1109/SAM.2000.878004
