Urban Growth Detection using Morphology of Satellite Image
Rapid urbanization and urban growth is continuing to be one of the crucial issues of global change affecting physical dimensions of cities. In this study, building growth change detection is investigated as buildings are one of the most dynamic structures in urban areas. The modified MBI is applied to extract building features to know how much area has changed. To accurate the position of building extraction index in change detection process, image registration is used that seeks to remove the two-date images geometric inconsistent object using SURF and RANSAC. It is significantly reduce error rates and improve overall accuracy of change detection process. The experiments show that the proposed change detection algorithms can achieves satisfactory correctness rates with a low level of error rate, and give better result than SIFT feature extraction method in image registration.
Keywords- Urban Growth, Modified MBI, SURF, SIFT, Change Rule.