Edge-and Shape-Based Geometric Registration

The standard method for geometric registration of images consists of selecting control points in the two images and computing the correlation maximum of small subimages containing the control points. This method does not work well when applied to images taken at different seasons or with different s...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 1985-05, Vol.GE-23 (3), p.334-342
Main Authors: Henderson, Thomas C., Triendl, Ernst E., Winter, Rudolf
Format: Article
Language:English
Subjects:
Applied sciences
Automatic control
edge models
Error correction
Exact sciences and technology
Hough transform
Image analysis
Image edge detection
Image processing
Image registration
Image sensors
multitemporal images
Other techniques and industries
Remote sensing
Satellites
Shape
shape models
subpixel accuracy
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Summary:The standard method for geometric registration of images consists of selecting control points in the two images and computing the correlation maximum of small subimages containing the control points. This method does not work well when applied to images taken at different seasons or with different sensors. The use of edge-based registration has been proposed to overcome these difficulties but has so far achieved no better than picture raster element accuracy. This paper presents edge-and shape-guided correlation (or comparison) of control point areas for the analysis of multitemporal and multisource data. The direct correlation of control areas for registration is supplemented by comparison of descriptions of elementary objects, e. g., drawn lines, borders, and edges, whose positions are known with subpixel accuracy. These methods have been implemented as a set of image registration modules within the context of the DIBIAS image processing system.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.1985.289536