Artificial Neural Networks in Geospatial Analysis
Sucharita Gopal · International Encyclopedia of Geography · 2016
Abstract Artificial neural networks are computational models widely used in geospatial analysis for data classification, change detection, clustering, function approximation, and forecasting or prediction. There are many types of neural networks based on learning paradigm and network architectures. Their use is expected to grow with increasing availability of massive data from remote sensing and mobile platforms.