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Title:
The reduction of scanning noise in raster scanned data
Authors:
Emerson, D. T.; Graeve, R.
Affiliation:
AA(National Radio Astronomy Observatory, Tucson, AZ), AB(Max-Planck-Institut fuer Radioastronomie, Bonn, Federal Republic of Germany)
Publication:
Astronomy and Astrophysics (ISSN 0004-6361), vol. 190, no. 1-2, Jan. 1988, p. 353-358. (A&A Homepage)
Publication Date:
01/1988
Category:
Astronomy
Origin:
STI
NASA/STI Keywords:
IMAGE PROCESSING, INSTRUMENT ERRORS, NOISE REDUCTION, RADIO ASTRONOMY, RASTER SCANNING, ASTRONOMICAL MAPS, FOURIER TRANSFORMATION
Bibliographic Code:
1988A&A...190..353E

Abstract

It is common practice in many branches of observational science to build up a 2-dimensional image of an object by raster-scanning a sensor across the region of interest. In general, because of unavoidable instrumental offsets and drifts, the baselevel of each individual linear scan has to be corrected. A common technique is to subtract a linear baseline derived from the endpoints of each scan. The technique presented in this paper combines two or more data sets, taken with different scanning angles. The data are treated in the Fourier domain, providing an analytic, non-iterative and hence computationally efficient solution to the problem.

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