Polar cloud and surface classification using AVHRR imagery: an intercomparison of methods

Abstract

Six Advanced Very High-Resolution Radiometer local area coverage (AVHRR LAC) arctic scenes are classified into ten classes. These include water, solid sea ice, broken sea ice, snow-covered mountains, snow-free land, and five cloud types. Three different classifiers are examined: 1) the traditional stepwise discriminant analysis (SDA) method; 2) the feed-forward back-propagation (FFBP) neural network; and 3) the probabilistic neural network (PNN). -from Authors