A ground truth design tool for multiresolution images

We propose an interactive tool for designing ground-truth maps associated with multi-resolution remote sensing images. The target image is first segmented at object level by means of an edge-preserving algorithm. Then, a pre-classification defines groups of segments that are homogeneous both in spectral response and size. Finally, suitable candidate segments are selected and shown to the supervisor for inspection and labeling or possible rejection, in an iterative process, until the desired image covering is reached. Experimental results show that the proposed solution allows one to easily and quickly obtain ground-truth maps which are both locally and globally accurate, and where all classes are represented in a balanced manner.