A watershed-based segmentation technique for multiresolution data

Abstract

A new watershed-based technique is proposed for the segmentation of multiresolution remote-sensing images. These images are composed by a high-resolution panchromatic band and a low-resolution multispectral set. To achieve a segmentation with the high resolution of the panchromatic image and the high accuracy granted by the spectral information, the two components are processed jointly, using both spectral and morphological properties. In addition, a fully automatic marker generation procedure is introduced to reduce the oversegmentation typical of watershed methods. Experiments on WorldView-2 multiresolution images demonstrate the potential of the technique. © 2013 Springer-Verlag.