Nonrigid conflation for vector datasets using EM algorithm and Mixture of Gaussian approach

One of the key elements of the data integration process is conflation of spatial data from two different sources, which results in a single data set that incorporates data and attributes from both sources. Registration techniques needed for conflation can be rigid or non-rigid, depending on the underlying transformation. A key characteristic of rigid transformation is that all distances are preserved.