Title :
An automatic pattern recognition method for the processing of long slit spectral images
Author_Institution :
Lab. d´´Astronomie Spatiale, CNRS, Marseille, France
Abstract :
A pattern recognition method for the reduction of stellar and nebular spectra is presented. This method automatically corrects the geometrical and optical distortions of long-slit spectra and more specifically of bidimensional photographic image-tube spectra. Any photographic plate surrounded by two comparison spectra can be processed. The presented spectral reduction method is fully independent of the spectrograph and of the image-tube characteristics; no a priori knowledge of the different distortions is required. SPECTRA software, developed on VAX 11/780, has been included in the ESO Observatory´s image processing system (MIDAS), and was successfully applied to plates originating from the Haute Provence Observatory (OHP), the ESO Observatory at la Silla, and the Canada-France-Hawaii telescope
Keywords :
astronomical spectra; astronomical techniques; astronomy computing; computerised pattern recognition; spectral analysis; stellar spectra; Canada-France-Hawaii telescope; ESO Observatory; Haute Provence Observatory; MIDAS; SPECTRA; bidimensional photographic image-tube spectra; image processing system; long slit spectral images; nebular spectra; optical distortions; pattern recognition; spectral reduction method; stars; stellar spectra; Calibration; Geometrical optics; Image analysis; Image processing; Image recognition; Observatories; Optical distortion; Optimized production technology; Pattern recognition; Software packages;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28348