Matching and aligning features in overlayed coverages
J. Mark Ware, Christopher B. Jones · 1998
The problems caused by locational error when overlaying spatial data from different sources have been recognised for some time, and much research has been directed towards finding solutions.In this paper we present a solution in the form of an algorithm that seeks to match and align semantically equivalent features prior to overlay.It is assumed that, because of locational error, semantically equivalent features will not always be geometrically equivalent.The technique has been developed to assist in the detection of change between multi-date vector-defined data sets.Initial results, obtained by applying our algorithm to land cover data, are presented.1.