Abstract:
Urban growth is the critical task for city
planning of the developing country. It can
estimate to know the increasing rate of the
building area of the certain township during the
specific year. The system proposes a method
combining the Morphological Building Index
(MBI) and Slow Feature Analysis (SFA). It can
find the urban changing areas of the Yangon city
using the Landsat 7 ETM+ time series images from
2003 to 2015. In MBI, it leads to a number of false
alarms involving non-building urban structures
such as soil and roads. In SFA, it alone is not
suitable for building change detection since it
provides high commission error. The purposed
system combines these two method to overcome
the weakness of MBI and SFA. The experimental
result shows the comparative accuracies of MBI
and SFA method only with the proposed method.
