Flood monitoring in urban areas: statistical vs. neurofuzzy approach

Abstract

The paper aims at investigating different classification and segmentation tools for flood monitoring using satellite SAR images. To this aim, two different approaches, namely statistical segmentation and neurofuzzy classification are compared and discussed. The methods show, in general, the possibility to provide to a good extent accurate maps of the flooded areas using simple processing schemes. This stresses the effectiveness of satellite SAR images for real-time flood monitoring.