Pipelines are multidisciplinary projects from their planning, design, and construction to their maintenance and upgrade. The success of a pipeline project relies heavily on coordination among environmental assessment disciplines, clients, subcontractors, and vendors. Geographic information systems (GIS) play a major role in managing data and information across disciplines, and each environmental consulting company usually has at least one GIS department, which takes a lead role in maintaining current and historical data and information, and distributing it to various disciplines and business partners.
We are developing a novel algorithm to utilize spatial data and convert it into useful geo-spatial information that a GIS department can directly utilize. Pipeline and environmental data from different sources undergo automatic registration, where common features between datasets are automatically detected and geometric transformation functions are automatically estimated. Experimental results demonstrate the robustness of the algorithm against changes or outliners and the accuracy of the transformation.