Methods for Fine Registration of Cadastre Graphs to Images

by: Roger Trias-Sanz, Marc Pierrot-Deseilligny, Jean Louchet, Georges Stamon

Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 29, No. 11. (2007), pp. 1990-2000.

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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.

@article{citeulike:1674741, 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.}, author = {Trias-Sanz, Roger and Pierrot-Deseilligny, Marc and Louchet, Jean and Stamon, Georges }, booktitle = {Pattern Analysis and Machine Intelligence, IEEE Transactions on}, citeulike-article-id = {1674741}, doi = {10.1109/TPAMI.2007.1108}, journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on}, keywords = {2d, geography, registration}, number = {11}, pages = {1990--2000}, posted-at = {2007-09-19 08:34:24}, priority = {3}, title = {Methods for Fine Registration of Cadastre Graphs to Images}, url = {http://dx.doi.org/10.1109/TPAMI.2007.1108}, volume = {29}, year = {2007} }

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TY - JOUR ID - citeulike:1674741 L3 - citeulike-article-id:1674741 TI - Methods for Fine Registration of Cadastre Graphs to Images T2 - Pattern Analysis and Machine Intelligence, IEEE Transactions on JF - Pattern Analysis and Machine Intelligence, IEEE Transactions on VL - 29 IS - 11 SP - 1990 EP - 2000 N2 - 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. KW - 2d KW - geography KW - registration AU - Trias-Sanz, Roger AU - Pierrot-Deseilligny, Marc AU - Louchet, Jean AU - Stamon, Georges PY - 2007/// UR - http://dx.doi.org/10.1109/TPAMI.2007.1108 ER -

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