Machine learning techniques are beingness increasingly used to discovery features inwards satellite as well as aerial imagery. Artificial tidings as well as car learning tin endure used to prepare algorithms to search for familiar patterns inwards aerial imagery of the Earth. The reasons for searching satellite imagery tin endure varied as well as tin endure for commercial, environmental or social purposes.
One instance of car learning beingness used to position mutual features inwards aerial imagery is OneSoil, which uses AI to discovery where dissimilar types of crops are beingness grown to a greater extent than or less the world. Another instance is Земляна проказа, which was created using car learning to position Ukraine's illegal amber mines. Another example, of late covered on , is Curio Canopy, which has used car learning based techniques to position tree canopy comprehend inwards European cities.
Another instance is Dymaxion Labs Maps of Potential Slums as well as Informal Settlements. Dymaxion Labs used car learning to search the satellite imagery of a release of South American cities inwards social club to position as well as discovery slums as well as informal settlements. The resulting maps are beingness used to help urban planners as well as local councils position where vital utilities require to endure directed.
To help position the informal settlements Dymaxion Labs used the Random Forest car learning technique. You tin read to a greater extent than near the procedure on the Mapbox blog.
