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Being able to merge high quality and complete building models with parcel data is of a paramount importance for any applicationdealing with urban planning. However since parcel boundaries often stand for the legal reference frame, the whole correction willbe exclusively done on building features. Then a major task is to identify spatial relationships and properties that buildings shouldkeep through the conflation process. The purpose of this paper is to describe a method based on least squares approach to ensure thatbuildings fit consistently into parcels while abiding by a set of standard constraints that may concern most of urban applications. Animportant asset of our model is that it can be easily extended to comply with more specific constraints. In addition, results analysisalso demonstrates that it provides significantly better output than a basic algorithm relying on an individual correction of features,especially regarding conservation of metrics and topological relationships between buildings. In the future, we would like to includemore specific constraints to retrieve the actual positions of buildings relatively to parcel borders and we plan to assess the contributionof our algorithm on the quality of urban application outputs

TOWARDS A GENERIC METHOD FOR BUILDING-PARCEL VECTOR DATA ADJUSTMENT BY LEAST SQUARES