In this paper a new approach based on the fusion of Sentinel-1 and Sentinel-2 products to
map urban change detection and to observe suburb's development is presented. The
algorithm developed can process data in a fast, automatic and accurate way. To reach this
goal, the processing chain uses an iterative multitemporal approach based, for each
iteration, on three procedures. The first and second ones are based on Pulse Coupled
Neural Network (PCNN) applied to SAR and optical images, respectively, while the third�…

Urbanization is progressing rapidly around the world. With sub-weekly revisits at global
scale, Sentinel-1 synthetic aperture radar (SAR) and Sentinel-2 multispectral imager (MSI)
data can play an important role for monitoring urban sprawl to support sustainable
development. In this letter, we proposed an urban change detection (CD) approach featuring
a new network architecture for the fusion of SAR and optical data. Specifically, a dual stream
concept was introduced to process different data modalities separately, before combining�…