Cloud detection based on texture segmentation by neural network methods

A novel method to detect and recognize clouds from remote sensing images is introduced. The detection and recognition of clouds are based on textures. The images are partitioned into homogeneously textured regions, and the interpretation of those textures is based on a texture map. This map is created by means of artificial neural network methodology. The use of neural network methods makes it possible to apply an unsupervised learning paradigm to train the map continuously. The texture map is created by a self-organizing process of feature vectors. This is performed in an unsupervised way. The labeling is achieved by a supervised process.<>