Local feature enhancement of synthetic aperture radio images by adaptive Kalman filtering

Details Local feature enhancement of synthetic aperture radio images by adaptive Kalman filtering Local feature enhancement of synthetic aperture radio images by adaptive Kalman filtering

Apr 1990

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990aj.....99.1327z&link_type=abstract

Astronomical Journal (ISSN 0004-6256), vol. 99, April 1990, p. 1327-1335.

Astronomy and Astrophysics

Astronomy

Image Enhancement, Kalman Filters, Radio Astronomy, Synthetic Apertures, Adaptive Filters, Data Processing, Image Processing, Planetary Nebulae, Quasars, Signal To Noise Ratios, Very Large Array (Vla)

Scientific paper

An adaptive Kalman filtering technique is developed to improve final radio astronomy images obtained by conventional data processing procedures. This technique focuses on local feature enhancement that is different from other radio astronomy image restoration methods. The enhancement is especially effective in the low S/N region of an image, where one may want to distiguish between source structure and background noise. The main steps of this technique are image segmentation, image modeling, and adaptive Kalman filtering. Compared to traditional image enhancement techniques, this method has the advantages of emphasizing local information, estimating a pixel by optimally weighting neighborhoods with a consideration of noise statistics, smoothing noise while preserving edges and source structure, and giving statistics of estimation errors. The technique is applied to enhance VLA images of radio sources NGC 7027 (planetary nebula) and 3C 47 (classical double quasar).

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