Abstract:
Myanmar is exposed to a number of natural
hazards, some of which have caused devastating
damage in the recent past. According to the UN
Risk Model, Myanmar ranks as the ‘most at risk’
country for natural disasters. Coastal regions,
particularly Rakhine State and the Ayeyarwady
Delta Region, are at high risk for cyclones, storm
surges and tsunamis. As Myanmar falls on one of
the two main earthquake belts in the world, much
of the country is prone to earthquake. After the
disaster occurred, we cannot classify completely
the building areas on widely damaged urban
areas many years later. Urban growth is the
critical feeds for the city planning and directly
effects on the country development. The
modified Morphological Building Index (MBI) is
applied to extract building areas to know how
much area has change. Then, matching-based
change rule is applied to obtain changes areas. In
the experiments show that the proposed method
can achieve satisfactory correctness rate by
comparing with Change Vector Analysis (CVA).