Searching. Please wait…
1583
37
170
29213
4419
2602
347
390
Abstract: We consider a set of M images, whose pixel intensities at a common point can be treated as the components of a M-dimensional vector. We are interested in the estimation of the modulus of such a vector associated to a compact source. For instance, the detection/estimation of the polarized signal of compact sources immersed in a noisy background is relevant in some fields like astrophysics. We develop two different techniques, one based on the maximum likelihood estimator (MLE) applied to the modulus distribution, the modulus filter (ModF) and other based on prefiltering the components before fusion, the filtered fusion (FF), to deal with this problem. We present both methods in the general case of M images and apply them to the particular case of three images (linear plus circular polarization). Numerical simulations have been performed to test these filters considering polarized compact sources immersed in stationary noise. The FF performs better than the ModF in terms of errors in the estimated amplitude and position of the source, especially in the low signal-to-noise case. We also compare both methods with the direct application of a matched filter (MF) on the polarization data. This last technique is clearly outperformed by the new methods.
Authorship: Argüeso F., Luis Sanz J., Herranz D.,
Fuente: Signal Processing, 2011, 91(7), 1527-1534
Publisher: Elsevier
Publication date: 01/07/2011
No. of pages: 8
Publication type: Article
DOI: 10.1016/j.sigpro.2010.12.008
ISSN: 0165-1684,1872-7557
Spanish project: AYA 2010-21766-C03-01
Publication Url: https://doi.org/10.1016/j.sigpro.2010.12.008
Read publication
ARGÜESO, FRANCISCO
JOSE LUIS SANZ ESTEVEZ
DIEGO HERRANZ MUÑOZ
Back