Structural knowledge learning from maps for supervised land cover/use classification: Application to the monitoring of land cover/use maps in French Guiana
We propose a supervised classification method for elaborating land cover/use maps. The approach explicitly takes into account structural knowledge. The method is applied to monitor changes in French Guiana coastline. Results are easily understandable by non-experts. A 10-fold cross-validation quantitatively assesses the approach performances.
supervised classification machine learning inductive logic programming (ilp) geographic information system land cover map