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Proceedings Paper

Image Registration By A Statistical Method
Author(s): Victor T. Tom; Gregory K. Wallace; Gregory J. Wolfe
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Paper Abstract

An automatic method for accurate registration of digital image data is described. The method uses statistically significant correlations between different data sets to generate control points. Under the assumption that the data can be coarsely registered via sensor geometry models or a few manually extracted ground control points, one can use a statistical technique to "fine-tune" the registration. The technique is based on data whitening, short-space correlations, a false-alarm threshold test, and coordinate remapping. Data whitening permits subsequent analysis of processed images to be based on a Gaussian white noise assumption. A quantitative threshold can then be evaluated which is exceeded only when the corresponding subimages are correlated. This statistical approach often yields a dense uniform distribution of control points. Except for the coarse registration step, the procedure is totally automatic, alleviating the tedious task of manual control point selection. The accuracy of the technique is demonstrated by aligning digital stereo imagery and SAR to simulated Thematic Mapper imagery.

Paper Details

Date Published: 9 January 1984
PDF: 8 pages
Proc. SPIE 0432, Applications of Digital Image Processing VI, (9 January 1984); doi: 10.1117/12.936669
Show Author Affiliations
Victor T. Tom, The Analytic Sciences Corporation (United States)
Gregory K. Wallace, Digital Equipment Corporation (United States)
Gregory J. Wolfe, The Analytic Sciences Corporation (United States)


Published in SPIE Proceedings Vol. 0432:
Applications of Digital Image Processing VI
Andrew G. Tescher, Editor(s)

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