Segmentation of natural landscapes using morphological texture features

The goal of this work is to segment high resolution images of natural landscapes into different cover types. With this aim, morphological texture descriptors are used in order to avoid the limitations of spectral features. Firstly, an unsupervised texture segmentation method is presented, since no a priori information about the textures is supplied. Secondly, the same features are utilized in a supervised case, where the textures to detect have been previously determined.