Analysis of multiband astronomical images using multiscale tools

Albert Bijaoui; Anaïs Guennec; Christophe Benoist; Eric Slezak

doi:10.1117/12.629697

7 November 2005 Analysis of multiband astronomical images using multiscale tools

Albert Bijaoui, Anaïs Guennec, Christophe Benoist, Eric Slezak

Proceedings Volume 6001, Wavelet Applications in Industrial Processing III; 600101 (2005) https://doi.org/10.1117/12.629697
Event: Optics East 2005, 2005, Boston, MA, United States

Abstract

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.

Citation Download Citation

Albert Bijaoui, Anaïs Guennec, Christophe Benoist, and Eric Slezak "Analysis of multiband astronomical images using multiscale tools", Proc. SPIE 6001, Wavelet Applications in Industrial Processing III, 600101 (7 November 2005); https://doi.org/10.1117/12.629697

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