Analysis of multiband astronomical images using multiscale tools

Details Analysis of multiband astronomical images using multiscale tools Analysis of multiband astronomical images using multiscale tools

Nov 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005spie.6001....1b&link_type=abstract

Wavelet Applications in Industrial Processing III. Edited by Truchetet, Frederic; Laligant, Olivier. Proceedings of the SPIE, Vo

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Many regions of the sky are currently being observed with a high number of spectral bands with various instruments and this trend shall develop considerably in the coming years. Even with few wavelength-bands, it is not easy to match the objects identified in each individual image, or to get consistent measurements and classify them spectrally. A detection based on fusion images is proposed. Different algorithms are tested for building such an image. The best results in terms of object detection are obtained from those involving a deconvolution with a wavelet approach. Another way to sort the pixels of astronomical images into a coherent set of physical sources is to classify them following some basic assumptions. The main difficulty comes from the fact that astronomical sources fill a multidimensional continuum of spectral classes leading to a significant color classes increase with the number of bands. The pixels spectral behaviour is assumed here to be a superimposition of several pure elements. The resulting mixing categories define a set of intermediate classes, and the application of the matching pursuit algorithm allows then to get class percentages, providing very promising results for the analysis of multi-wavelength astronomical images.

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