  Machine learning is being widely applied to analyze satellite data with
problems such as classification and feature detection. Unlike traditional image
processing algorithms, geospatial applications need to convert the detected
objects from a raster form to a geospatial vector form to further analyze it.
This gem delivers a simple and light-weight algorithm for delineating the
pixels that are marked by ML algorithms to extract geospatial objects from
satellite images. The proposed algorithm is exact and users can further apply
simplification and approximation based on the application needs.
