Object-Based Vectorization of Geospatial Data – An AI Approach
Vectorization—the process of converting raster data into vector format—remains a significant challenge in the geospatial industry. Traditional methods of producing a vector data from a raster, especially when working with scanned PDFs, make image interpretation complex and require substantial manual effort to accurately map the individual assets. This white paper presents a proof of concept that leverages an AI-driven approach to automate this conversion process by handling the map data as layered components or objects, such as electrical conductors, roads, and buildings. The focus is on extracting line and polygon features using BOTs, which substantially reduces manual effort and enhances efficiency.
