DocumentCode :
1120406
Title :
Methods for Fine Registration of Cadastre Graphs to Images
Author :
Trias-Sanz, Roger ; Pierrot-Deseilligny, Marc ; Louchet, Jean ; Stamon, Georges
Author_Institution :
Google Switzerland, Zurich
Volume :
29
Issue :
11
fYear :
2007
Firstpage :
1990
Lastpage :
2000
Abstract :
We propose two algorithms to match edges in a geometrically imprecise graph to geometrically precise strong boundaries in an image, where the graph is meant to give an a priori partition of the image into objects. This can be used to partition an image into objects described by imprecise external data and, thus, to simplify the segmentation problem. We apply them to the problem of registering cadastre data to georeferenced aerial images, thus correcting the lack of geometrical detail of the cadastre data and the fact that cadastre data gives information of a different nature than that found in images (fiscal information as opposed to actual land use).
Keywords :
computational geometry; edge detection; graph theory; image matching; image registration; image segmentation; cadastre graphs; edge matching; geometrically imprecise graph; geometrically precise strong boundaries; georeferenced aerial images; image partitioning; image segmentation; Crops; Geometry; Image converters; Image edge detection; Image segmentation; Labeling; Partitioning algorithms; Polynomials; Remote sensing; Stochastic processes; Remote sensing; cartography; graph labeling; registration; stochastic methods; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.2007.1108
Filename :
4302763
Link To Document :
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