A MAXIMUM CORRELATION METHOD FOR IMAGE CONSTRUCTION OF IRAS SURVEY DATA

An algorithm is presented for the construction of images using linear array data with nonuniform scan coverage of object space and nonuniform detector responses. The algorithm achieves the maximum correlation between adjacent pixels, i.e., the smoothest image, consistent with the data and data uncertainties. For high spatial data density and signal-to-noise ratio the achievable spatial resolution can exceed the diffraction limit of the optics. The capability of the algorithm is illustrated using 60 μm data from the region centered on the galaxy M101, obtained during the all-sky survey performed by the Infrared Astronomical Satellite (IRAS). The 60 μm map produced has a resolution of about 36 arcsec and allows the identification of many H II regions by position and aperture photometry for the brighter ones. The achieved resolution is discussed in terms of the a priori estimate of the mean correlation length (MCL) of the data, the directly measured FWHM in the final image, and the results of aperture photometry of M101 H II regions NGC 5447, 5455, 5461, 5462, and 5471.