Urban classification using multi-temporal sentinel-1 data based on coherence characteristics

The paper presents the method of urban classification using the coherence characteristics of pairs of SAR images observed at different times. Two scenes of Sentinel-1A VV and VH polarized on January 16, 2020, and January 28, 2020, in some central districts of Hanoi city were used experimentally in this study.