Potential and Problems of Multi-Scale Segmentation Methods in Remote Sensing

Region-based approaches are suitable for the analysis of high-resolution remotely sensed data. In this context, special emphasis has to be laid on the segmentation of multisensoral and multi-scale input data with respect to the geometrical and semantical robustness of the achieved results, but also on the grade of automatization and transparency of the algorithms.

Document Type: 
Scientific Paper